Quan Zou
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Computer Science
Quan Zou's Degrees
- Bachelors Computer Science Peking University
- PhD Computer Science Peking University
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(Suggest an Edit or Addition)Quan Zou's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Biological functions of microRNAs: a review (2011) (588)
- Predicting Diabetes Mellitus With Machine Learning Techniques (2018) (416)
- Gene2vec: gene subsequence embedding for prediction of mammalian N6-methyladenosine sites from mRNA (2018) (356)
- A novel features ranking metric with application to scalable visual and bioinformatics data classification (2016) (336)
- Integrative approaches for predicting microRNA function and prioritizing disease-related microRNA using biological interaction networks (2016) (284)
- A comprehensive overview and evaluation of circular RNA detection tools (2017) (268)
- Tumor origin detection with tissue‐specific miRNA and DNA methylation markers (2018) (255)
- Inferring MicroRNA-Disease Associations by Random Walk on a Heterogeneous Network with Multiple Data Sources (2017) (242)
- LibD3C: Ensemble classifiers with a clustering and dynamic selection strategy (2014) (226)
- Similarity computation strategies in the microRNA-disease network: a survey. (2015) (220)
- Local-DPP: An improved DNA-binding protein prediction method by exploring local evolutionary information (2017) (188)
- Survey of MapReduce frame operation in bioinformatics (2013) (186)
- Prediction and Validation of Disease Genes Using HeteSim Scores (2017) (183)
- Prediction of potential disease‐associated microRNAs using structural perturbation method (2018) (179)
- Prediction of human protein subcellular localization using deep learning (2017) (174)
- Sequence clustering in bioinformatics: an empirical study (2018) (170)
- nDNA-prot: identification of DNA-binding proteins based on unbalanced classification (2014) (163)
- Prediction of MicroRNA-Disease Associations Based on Social Network Analysis Methods (2015) (148)
- Hierarchical Classification of Protein Folds Using a Novel Ensemble Classifier (2013) (147)
- Fast Prediction of Protein Methylation Sites Using a Sequence-Based Feature Selection Technique (2019) (144)
- Deep-Resp-Forest: A deep forest model to predict anti-cancer drug response. (2019) (141)
- Finding the Best Classification Threshold in Imbalanced Classification (2016) (141)
- Pretata: predicting TATA binding proteins with novel features and dimensionality reduction strategy (2016) (141)
- Improved and Promising Identification of Human MicroRNAs by Incorporating a High-Quality Negative Set (2014) (138)
- TiSGeD: a database for tissue-specific genes (2010) (132)
- HAlign: Fast multiple similar DNA/RNA sequence alignment based on the centre star strategy (2015) (129)
- CPPred-RF: A Sequence-based Predictor for Identifying Cell-Penetrating Peptides and Their Uptake Efficiency. (2017) (125)
- Exploring sequence‐based features for the improved prediction of DNA N4‐methylcytosine sites in multiple species (2018) (124)
- MRMD2.0: A Python Tool for Machine Learning with Feature Ranking and Reduction (2020) (121)
- Integration of deep feature representations and handcrafted features to improve the prediction of N6-methyladenosine sites (2019) (117)
- Protein Remote Homology Detection by Combining Chou’s Pseudo Amino Acid Composition and Profile‐Based Protein Representation (2013) (112)
- Protein Folds Prediction with Hierarchical Structured SVM (2016) (110)
- 4mCPred: machine learning methods for DNA N4‐methylcytosine sites prediction (2018) (110)
- Meta-Path Methods for Prioritizing Candidate Disease miRNAs (2019) (107)
- HPSLPred: An Ensemble Multi‐Label Classifier for Human Protein Subcellular Location Prediction with Imbalanced Source (2017) (107)
- Application of Machine Learning in Microbiology (2019) (104)
- Deep learning in omics: a survey and guideline (2018) (103)
- O‐GlcNAcPRED‐II: an integrated classification algorithm for identifying O‐GlcNAcylation sites based on fuzzy undersampling and a K‐means PCA oversampling technique (2018) (102)
- Detecting N6-methyladenosine sites from RNA transcriptomes using ensemble Support Vector Machines (2017) (101)
- Cancer Diagnosis Through IsomiR Expression with Machine Learning Method (2016) (101)
- PaGenBase: A Pattern Gene Database for the Global and Dynamic Understanding of Gene Function (2013) (99)
- Empirical comparison and analysis of web-based cell-penetrating peptide prediction tools (2020) (97)
- PhosPred-RF: A Novel Sequence-Based Predictor for Phosphorylation Sites Using Sequential Information Only (2017) (96)
- Using distances between Top-n-gram and residue pairs for protein remote homology detection (2014) (93)
- miRClassify: An advanced web server for miRNA family classification and annotation (2014) (93)
- Iterative feature representations improve N4-methylcytosine site prediction (2019) (92)
- An overview of SNP interactions in genome-wide association studies. (2015) (89)
- Identification of DNA-binding proteins by incorporating evolutionary information into pseudo amino acid composition via the top-n-gram approach (2015) (88)
- Protein Function Prediction: From Traditional Classifier to Deep Learning (2019) (86)
- PEPred-Suite: improved and robust prediction of therapeutic peptides using adaptive feature representation learning (2019) (84)
- Asynchronous spiking neural P systems with rules on synapses (2015) (84)
- Enhanced Protein Fold Prediction Method Through a Novel Feature Extraction Technique (2015) (81)
- Predicting disease-associated circular RNAs using deep forests combined with positive-unlabeled learning methods (2020) (79)
- Regulatory long non-coding RNA and its functions (2012) (78)
- SkipCPP-Pred: an improved and promising sequence-based predictor for predicting cell-penetrating peptides (2017) (78)
- StackCPPred: a stacking and pairwise energy content-based prediction of cell-penetrating peptides and their uptake efficiency (2020) (76)
- A Random Forest Sub-Golgi Protein Classifier Optimized via Dipeptide and Amino Acid Composition Features (2019) (75)
- Comparative analysis and prediction of quorum-sensing peptides using feature representation learning and machine learning algorithms (2018) (74)
- Clustering and classification methods for single-cell RNA-sequencing data (2020) (74)
- Probability-based collaborative filtering model for predicting gene–disease associations (2017) (71)
- sgRNACNN: identifying sgRNA on-target activity in four crops using ensembles of convolutional neural networks (2021) (70)
- Recent Progress in Machine Learning-Based Methods for Protein Fold Recognition (2016) (69)
- Improved and promising identification of human MicroRNAs by incorporating a high-quality negative set (2014) (69)
- An Approach for Identifying Cytokines Based on a Novel Ensemble Classifier (2013) (69)
- Bioinformatics applications on Apache Spark (2018) (67)
- Incorporating Distance-based Top-n-gram and Random Forest to Identify Electron Transport Proteins. (2019) (66)
- 70ProPred: a predictor for discovering sigma70 promoters based on combining multiple features (2018) (64)
- A Review of DNA-binding Proteins Prediction Methods (2019) (64)
- Biological functions of MicroRNAs (2010) (63)
- Computational methods for identifying the critical nodes in biological networks (2019) (61)
- Improving tRNAscan‐SE Annotation Results via Ensemble Classifiers (2015) (59)
- BP4RNAseq: a babysitter package for retrospective and newly generated RNA-seq data analyses using both alignment-based and alignment-free quantification method (2020) (59)
- A study of miRNAs targets prediction and experimental validation (2010) (59)
- An in silico approach to identification, categorization and prediction of nucleic acid binding proteins. (2020) (58)
- Prediction of Potential Disease-Associated MicroRNAs by Using Neural Networks (2019) (58)
- Sequencing and de novo Analysis of Crassostrea angulata (Fujian Oyster) from 8 Different Developing Phases Using 454 GSFlx (2012) (57)
- HITS-PR-HHblits: protein remote homology detection by combining PageRank and Hyperlink-Induced Topic Search (2018) (57)
- An Improved Protein Structural Classes Prediction Method by Incorporating Both Sequence and Structure Information (2015) (57)
- Single-cell RNA analysis reveals the potential risk of organ-specific cell types vulnerable to SARS-CoV-2 infections (2021) (56)
- BinMemPredict: a Web Server and Software for Predicting Membrane Protein Types (2013) (55)
- DeepM6ASeq-EL: prediction of human N6-methyladenosine (m6A) sites with LSTM and ensemble learning (2021) (55)
- webTWAS: a resource for disease candidate susceptibility genes identified by transcriptome-wide association study (2021) (53)
- Briefing in family characteristics of microRNAs and their applications in cancer research. (2014) (53)
- A Global Characterization and Identification of Multifunctional Enzymes (2012) (53)
- The discovery approaches and detection methods of microRNAs (2011) (52)
- RF-PseU: A Random Forest Predictor for RNA Pseudouridine Sites (2020) (52)
- DeepAVP: A Dual-Channel Deep Neural Network for Identifying Variable-Length Antiviral Peptides (2020) (51)
- PaGeFinder: quantitative identification of spatiotemporal pattern genes (2012) (50)
- Exploratory Predicting Protein Folding Model with Random Forest and Hybrid Features (2014) (50)
- Computational identification and characteristics of novel microRNAs from the silkworm (Bombyx mori L.) (2010) (50)
- An Empirical Study of Features Fusion Techniques for Protein-Protein Interaction Prediction (2016) (48)
- Prediction of bio-sequence modifications and the associations with diseases. (2020) (47)
- Anticancer peptides prediction with deep representation learning features (2021) (47)
- AOPs-SVM: A Sequence-Based Classifier of Antioxidant Proteins Using a Support Vector Machine (2019) (45)
- Prediction of G Protein-Coupled Receptors with SVM-Prot Features and Random Forest (2016) (45)
- Identifying Multi-Functional Enzyme by Hierarchical Multi-Label Classifier (2013) (45)
- PPTPP: a novel therapeutic peptide prediction method using physicochemical property encoding and adaptive feature representation learning (2020) (45)
- miR-isomiRExp: a web-server for the analysis of expression of miRNA at the miRNA/isomiR levels (2016) (45)
- Approaches for Recognizing Disease Genes Based on Network (2014) (44)
- Specifying architecture of knowledge graph with data graph, information graph, knowledge graph and wisdom graph (2017) (43)
- ELM-MHC: An Improved MHC Identification Method with Extreme Learning Machine Algorithm. (2019) (43)
- A novel machine learning method for cytokine-receptor interaction prediction. (2016) (43)
- Computational Approaches in Detecting Non- Coding RNA (2013) (42)
- An in silico approach to identification, categorization and prediction of nucleic acid binding proteins (2020) (42)
- Critical evaluation of web-based prediction tools for human protein subcellular localization (2019) (42)
- Representation of fluctuation features in pathological knee joint vibroarthrographic signals using kernel density modeling method. (2014) (42)
- imDC: an ensemble learning method for imbalanced classification with miRNA data. (2015) (41)
- Identification of sub-Golgi protein localization by use of deep representation learning features (2020) (39)
- ITP-Pred: an interpretable method for predicting, therapeutic peptides with fused features low-dimension representation. (2020) (38)
- A novel collaborative filtering model for LncRNA-disease association prediction based on the Naïve Bayesian classifier (2019) (37)
- Research progress in protein posttranslational modification site prediction. (2018) (37)
- Which statistical significance test best detects oncomiRNAs in cancer tissues? An exploratory analysis (2016) (36)
- A Comprehensive Analysis of miRNA/isomiR Expression with Gender Difference (2016) (36)
- BP Neural Network Could Help Improve Pre-miRNA Identification in Various Species (2016) (34)
- Molecular design in drug discovery: a comprehensive review of deep generative models. (2021) (33)
- DeepATT: a hybrid category attention neural network for identifying functional effects of DNA sequences (2020) (33)
- enDNA-Prot: Identification of DNA-Binding Proteins by Applying Ensemble Learning (2014) (33)
- Supervised Brain Tumor Segmentation Based on Gradient and Context-Sensitive Features (2019) (32)
- Research on Cloud Databases (2012) (30)
- Exploiting Discriminative Regions of Brain Slices Based on 2D CNNs for Alzheimer’s Disease Classification (2019) (29)
- Machine learning and its applications in plant molecular studies. (2019) (29)
- SecProMTB: Support Vector Machine‐Based Classifier for Secretory Proteins Using Imbalanced Data Sets Applied to Mycobacterium tuberculosis (2019) (28)
- NucPosPred: Predicting species-specific genomic nucleosome positioning via four different modes of general PseKNC. (2018) (28)
- Classification of Small GTPases with Hybrid Protein Features and Advanced Machine Learning Techniques (2017) (28)
- CMSA: a heterogeneous CPU/GPU computing system for multiple similar RNA/DNA sequence alignment (2017) (28)
- Identification of cytokine via an improved genetic algorithm (2015) (27)
- Analysis of gene expression profiles of lung cancer subtypes with machine learning algorithms. (2020) (26)
- Network-based method for mining novel HPV infection related genes using random walk with restart algorithm. (2017) (26)
- Accurate Identification of Cancerlectins through Hybrid Machine Learning Technology (2016) (26)
- A Convolutional Neural Network Using Dinucleotide One-hot Encoder for identifying DNA N6-Methyladenine Sites in the Rice Genome (2021) (26)
- RFhy-m2G: Identification of RNA N2-methylguanosine Modification Sites Based on Random Forest and Hybrid Features. (2021) (26)
- Distance-based support vector machine to predict DNA N6-methyladenine modification (2022) (25)
- HAlign-II: efficient ultra-large multiple sequence alignment and phylogenetic tree reconstruction with distributed and parallel computing (2017) (24)
- Prediction of drug-target interactions based on multi-layer network representation learning (2021) (24)
- Selecting Essential MicroRNAs Using a Novel Voting Method (2019) (23)
- Exploration of the correlation between GPCRs and drugs based on a learning to rank algorithm (2020) (23)
- NmRF: identification of multispecies RNA 2'-O-methylation modification sites from RNA sequences (2021) (23)
- Machine learning and graph analytics in computational biomedicine (2017) (23)
- CirRNAPL: A web server for the identification of circRNA based on extreme learning machine (2020) (23)
- Review and comparative analysis of machine learning-based phage virion protein identification methods. (2020) (22)
- A Discussion of MicroRNAs in Cancers (2014) (22)
- Scalable Data Mining Algorithms in Computational Biology and Biomedicine (2017) (22)
- Review of Protein Subcellular Localization Prediction (2014) (22)
- Predicting RNA secondary structure based on the class information and Hopfield network (2009) (21)
- Improved method for predicting protein fold patterns with ensemble classifiers. (2012) (20)
- EP3: an ensemble predictor that accurately identifies type III secreted effectors (2020) (20)
- Identifying cell types to interpret scRNA-seq data: how, why and more possibilities. (2020) (19)
- A comprehensive overview and critical evaluation of gene regulatory network inference technologies (2021) (19)
- Processing Optimization of Typed Resources with Synchronized Storage and Computation Adaptation in Fog Computing (2018) (19)
- RicyerDB: A Database For Collecting Rice Yield-related Genes with Biological Analysis (2018) (19)
- Identify RNA-associated subcellular localizations based on multi-label learning using Chou’s 5-steps rule (2021) (18)
- 6mA-RicePred: A Method for Identifying DNA N 6-Methyladenine Sites in the Rice Genome Based on Feature Fusion (2020) (18)
- Sc-ncDNAPred: A Sequence-Based Predictor for Identifying Non-coding DNA in Saccharomyces cerevisiae (2018) (18)
- A comprehensive review of the imbalance classification of protein post-translational modifications (2021) (18)
- Basic polar and hydrophobic properties are the main characteristics that affect the binding of transcription factors to methylation sites (2020) (18)
- A network-based method for the identification of putative genes related to infertility. (2016) (17)
- Computational Analysis of miRNA Target Identification (2012) (17)
- Reconstructing evolutionary trees in parallel for massive sequences (2017) (17)
- Identification of drug-target interactions via multiple kernel-based triple collaborative matrix factorization (2022) (16)
- Goals and approaches for each processing step for single-cell RNA sequencing data. (2020) (16)
- Latest Machine Learning Techniques for Biomedicine and Bioinformatics (2019) (16)
- Application and Development of Artificial Intelligence and Intelligent Disease Diagnosis. (2020) (16)
- Transcription factors-DNA interactions in rice: identification and verification (2020) (16)
- mAML: an automated machine learning pipeline with a microbiome repository for human disease classification (2020) (16)
- Ecological and network analyses identify four microbial species with potential significance for the diagnosis/treatment of ulcerative colitis (UC) (2021) (15)
- Differential expression of microRNA-2b with potential target coding P25 in the fifth instar larvae posterior silk gland of the silkworm (2011) (15)
- Multiple Sequence Alignment Based on a Suffix Tree and Center-Star Strategy: A Linear Method for Multiple Nucleotide Sequence Alignment on Spark Parallel Framework (2017) (15)
- Prediction and characterization of microRNAs from eleven fish species by computational methods (2014) (15)
- A spectral clustering with self-weighted multiple kernel learning method for single-cell RNA-seq data (2020) (15)
- Critical downstream analysis steps for single-cell RNA sequencing data (2021) (15)
- Taxonomy dimension reduction for colorectal cancer prediction (2019) (15)
- Sequence representation approaches for sequence-based protein prediction tasks that use deep learning. (2021) (15)
- In silico Detection of Novel MicroRNAs Genes in Soybean Genome (2011) (15)
- Computational Identification of MicroRNAs and Their Targets in Perennial Ryegrass (Lolium perenne) (2014) (14)
- The application of machine learning to disease diagnosis and treatment. (2019) (14)
- HSM6AP: a high-precision predictor for the Homo sapiens N6-methyladenosine (m^6 A) based on multiple weights and feature stitching (2021) (14)
- Revisiting genome-wide association studies from statistical modelling to machine learning (2020) (14)
- iTTCA-RF: a random forest predictor for tumor T cell antigens (2021) (14)
- CWLy-SVM: A support vector machine-based tool for identifying cell wall lytic enzymes (2020) (14)
- Identification of DEP domain-containing proteins by a machine learning method and experimental analysis of their expression in human HCC tissues (2016) (14)
- TS-m6A-DL: Tissue-specific identification of N6-methyladenosine sites using a universal deep learning model (2021) (13)
- Construction and detection of expression vectors of microRNA-9a in BmN cells (2011) (13)
- Identifying DNA N4-methylcytosine sites in the rosaceae genome with a deep learning model relying on distributed feature representation☆ (2021) (13)
- A Novel Approach Based on a Weighted Interactive Network to Predict Associations of MiRNAs and Diseases (2018) (13)
- Analysis of the chemical toxicity effects using the enrichment of Gene Ontology terms and KEGG pathways. (2016) (13)
- Editorial (Thematic Issue: Machine Learning Techniques for Protein Structure, Genomics Function Analysis and Disease Prediction) (2016) (12)
- 2lpiRNApred: a two-layered integrated algorithm for identifying piRNAs and their functions based on LFE-GM feature selection (2020) (12)
- A Novel Center Star Multiple Sequence Alignment Algorithm Based on Affine Gap Penalty and K-Band (2012) (12)
- Genomic Analysis of MicroRNA Promoters and Their Cis-Acting Elements in Soybean (2010) (12)
- Decision Tree Classification Model for Popularity Forecast of Chinese Colleges (2014) (12)
- Oral microbial community assembly under the influence of periodontitis (2017) (12)
- Investigation and development of maize fused network analysis with multi-omics. (2019) (12)
- High-resolution transcription factor binding sites prediction improved performance and interpretability by deep learning method. (2021) (12)
- Tumor Origin Detection with Tissue-Specific miRNA and DNA methylation Markers (2016) (11)
- CRBPDL: Identification of circRNA-RBP interaction sites using an ensemble neural network approach (2022) (11)
- iDNA-ABF: multi-scale deep biological language learning model for the interpretable prediction of DNA methylations (2022) (11)
- Exploring Drug Treatment Patterns Based on the Action of Drug and Multilayer Network Model (2020) (11)
- i6mA-Caps: a CapsuleNet-based framework for identifying DNA N6-methyladenine sites (2022) (11)
- Genome-Wide Analysis of LysM-Containing Gene Family in Wheat: Structural and Phylogenetic Analysis during Development and Defense (2020) (11)
- Identify content quality in online social networks (2012) (11)
- Bidirectional value driven design between economical planning and technical implementation based on data graph, information graph and knowledge graph (2017) (11)
- DeepAc4C: a convolutional neural network model with hybrid features composed of physicochemical patterns and distributed representation information for identification of N4-acetylcytidine in mRNA (2021) (11)
- Computational identification of miRNA genes and their targets in mulberry (2014) (10)
- Novel representation of RNA secondary structure used to improve prediction algorithms. (2011) (10)
- Matrix factorization-based data fusion for the prediction of RNA-binding proteins and alternative splicing event associations during epithelial-mesenchymal transition (2021) (10)
- The memory degradation based online sequential extreme learning machine (2018) (10)
- Staem5: A novel computational approachfor accurate prediction of m5C site (2021) (10)
- Advanced Machine Learning Techniques for Bioinformatics (2019) (10)
- Prediction of tumor metastasis from sequencing data in the era of genome sequencing. (2019) (10)
- Identification of MicroRNA Genes and their mRNA Targets in Festuca arundinacea (2014) (9)
- HPTree: Reconstructing phylogenetic trees for ultra-large unaligned DNA sequences via NJ model and Hadoop (2016) (9)
- The regulation of silkworm fibroin L chain production by miRNA-965 and miRNA-1926 in insect cells (2012) (9)
- Benchmark comparison of ab initio microRNA identification methods and software. (2012) (9)
- Identifying protein-protein interface via a novel multi-scale local sequence and structural representation (2019) (9)
- Characterizing viral circRNAs and their application in identifying circRNAs in viruses (2021) (9)
- Predicting protein-peptide binding residues via interpretable deep learning (2022) (9)
- System-Level Insights into the Cellular Interactome of a Non-Model Organism: Inferring, Modelling and Analysing Functional Gene Network of Soybean (Glycine max) (2014) (9)
- Molecular Computing and Bioinformatics (2019) (9)
- Prediction of RNA-binding protein and alternative splicing event associations during epithelial-mesenchymal transition based on inductive matrix completion (2021) (8)
- GutBalance: a server for the human gut microbiome-based disease prediction and biomarker discovery with compositionality addressed (2021) (8)
- C-Loss Based Higher Order Fuzzy Inference Systems for Identifying DNA N4-Methylcytosine Sites (2022) (8)
- SubLocEP: a novel ensemble predictor of subcellular localization of eukaryotic mRNA based on machine learning (2021) (8)
- Laplacian Regularized Sparse Representation Based Classifier for Identifying DNA N4-Methylcytosine Sites via $L_{2,1/2}$L2,1/2-Matrix Norm (2021) (8)
- NerLTR-DTA: drug-target binding affinity prediction based on neighbor relationship and learning to rank (2022) (8)
- Minirmd: accurate and fast duplicate removal tool for short reads via multiple minimizers (2020) (8)
- Computational identification and characterization of miRNAs and their target genes from five cyprinidae fishes (2015) (8)
- Application of learning to rank in bioinformatics tasks (2021) (8)
- Biological Sequence Classification: A Review on Data and General Methods (2022) (7)
- DisBalance: a platform to automatically build balance-based disease prediction models and discover microbial biomarkers from microbiome data (2021) (7)
- Protein Complexes Identification with Family-Wise Error Rate Control (2020) (7)
- Efficient computation of motif discovery on Intel Many Integrated Core (MIC) Architecture (2018) (7)
- iPro2L-PSTKNC: A Two-Layer Predictor for Discovering Various Types of Promoters by Position Specific of Nucleotide Composition (2020) (7)
- Protein–DNA/RNA interactions: Machine intelligence tools and approaches in the era of artificial intelligence and big data (2022) (7)
- cmFSM: a scalable CPU-MIC coordinated drug-finding tool by frequent subgraph mining (2018) (7)
- Hybrid pseudo-relevance feedback for microblog retrieval (2013) (7)
- prPred‐DRLF: Plant R protein predictor using deep representation learning features (2021) (7)
- A comparison of deep learning-based pre-processing and clustering approaches for single-cell RNA sequencing data (2021) (7)
- Construction of baculovirus expression vector of miRNAs and its expression in insect cells (2012) (6)
- Prediction of diabetic protein markers based on an ensemble method. (2021) (6)
- rBPDL:Predicting RNA-Binding Proteins Using Deep Learning (2021) (6)
- NonClasGP-Pred: robust and efficient prediction of non-classically secreted proteins by integrating subset-specific optimal models of imbalanced data (2020) (6)
- Prediction of potential disease-associated microRNAs using structural perturbation method (2017) (6)
- Review of Progress in Predicting Protein Methylation Sites (2019) (6)
- Construction and Identification of the RNAi Recombinant Lentiviral Vector Targeting Human DEPDC7 Gene (2017) (6)
- String kernels construction and fusion: a survey with bioinformatics application (2022) (6)
- FTWSVM-SR: DNA-Binding Proteins Identification via Fuzzy Twin Support Vector Machines on Self-Representation (2021) (6)
- DephosSitePred: A High Accuracy Predictor for Protein Dephosphorylation Sites. (2017) (6)
- Network analysis of the hot spring microbiome sketches out possible niche differentiations among ecological guilds (2020) (6)
- Current status and future prospects of drug-target interaction prediction. (2021) (6)
- VPTMdb: a viral posttranslational modification database (2020) (6)
- Maintaining Internal Consistency of Report for Real-Time OLAP with Layer-Based View (2011) (6)
- By hybrid neural networks for prediction and interpretation of transcription factor binding sites based on multi-omics (2021) (5)
- Comparative genome analysis of plant ascomycete fungal pathogens with different lifestyles reveals distinctive virulence strategies (2022) (5)
- Perspectives of Bioinformatics in Big Data Era (2019) (5)
- DrugHybrid_BS: Using Hybrid Feature Combined With Bagging-SVM to Predict Potentially Druggable Proteins (2021) (5)
- Details in the evaluation of circular RNA detection tools: Reply to Chen and Chuang (2019) (5)
- webSCST: an interactive web application for single-cell RNA-sequencing data and spatial transcriptomic data integration (2022) (5)
- GMNN2CD: identification of circRNA-disease associations based on variational inference and graph Markov neural networks (2022) (5)
- Genomic analysis of silkworm microRNA promoters and clusters (2011) (5)
- Hierarchical support vector machine based structural classification with fused hierarchies (2016) (5)
- Prediction and Identification of Krüppel-Like Transcription Factors by Machine Learning Method. (2017) (5)
- Significance-Based Essential Protein Discovery (2020) (5)
- Grouped Correlational Generative Adversarial Networks for Discrete Electronic Health Records (2019) (5)
- Critical assessment of computational tools for prokaryotic and eukaryotic promoter prediction (2022) (5)
- Single-cell RNA sequencing analysis identifies key genes in brain metastasis from lung adenocarcinoma. (2021) (5)
- Accurate Prediction and Key Feature Recognition of Immunoglobulin (2021) (5)
- Multi-objective optimization and data analysis in informationization (2019) (4)
- A hybrid deep learning framework for gene regulatory network inference from single-cell transcriptomic data (2022) (4)
- Combining Sparse Group Lasso and Linear Mixed Model Improves Power to Detect Genetic Variants Underlying Quantitative Traits (2019) (4)
- Using a low correlation high orthogonality feature set and machine learning methods to identify plant pentatricopeptide repeat coding gene/protein (2020) (4)
- Latent factor model with heterogeneous similarity regularization for predicting gene-disease associations (2016) (4)
- Hierarchical Identification of MicroRNA Families for Biomedical Applications (2014) (4)
- RNA Secondary Structure Prediction Based on Forest Representation and Genetic Algorithm (2007) (4)
- Decision Tree for Sequences (2023) (4)
- Genome-Wide Analysis of the MADS-Box Gene Family in Maize: Gene Structure, Evolution, and Relationships (2021) (4)
- Machine learning for phytopathology: from the molecular scale towards the network scale (2021) (4)
- Probability-Based Buffer Replacement Algorithm for Flash-Based Databases: Probability-Based Buffer Replacement Algorithm for Flash-Based Databases (2014) (4)
- Instance-Based Classification Through Hypothesis Testing (2019) (4)
- VCSRA: A fast and accurate multiple sequence alignment algorithm with a high degree of parallelism. (2018) (4)
- DeepMC-iNABP: Deep learning for multiclass identification and classification of nucleic acid-binding proteins (2022) (4)
- Material Classification Using Random Forest (2011) (4)
- Prediction of Thermophilic Proteins Using Voting Algorithm (2019) (4)
- Deep learning models for disease-associated circRNA prediction: a review. (2022) (4)
- Analysis of Cyclin-Dependent Kinase 1 as an Independent Prognostic Factor for Gastric Cancer Based on Statistical Methods (2020) (4)
- scIMC: a platform for benchmarking comparison and visualization analysis of scRNA-seq data imputation methods (2022) (4)
- Special Protein Molecules Computational Identification (2018) (4)
- Future Health and Economic Impact of Comprehensive Tobacco Control in DoD: A Microsimulation Approach. (2018) (3)
- A Pay as You Use Resource Security Provision Approach Based on Data Graph, Information Graph and Knowledge Graph (2017) (3)
- Multiple sequence alignment and reconstructing phylogenetic trees with Hadoop (2016) (3)
- DeepBIO: an automated and interpretable deep-learning platform for high-throughput biological sequence prediction, functional annotation and visualization analysis (2023) (3)
- Diagnosis of Brain Diseases via Multi-Scale Time-Series Model (2019) (3)
- iLncDA-LTR: Identification of lncRNA-disease associations by learning to rank (2022) (3)
- ROBINIA: SCALABLE FRAMEWORK FOR DATA-INTENSIVE SCIENTIFIC COMPUTING ON WIDE AREA NETWORK (2014) (3)
- SgRNA-RF: Identification of SgRNA On-Target Activity With Imbalanced Datasets (2021) (3)
- AMPpred-EL: An effective antimicrobial peptide prediction model based on ensemble learning (2022) (3)
- Performance Optimization of Analysis Rules in Real-Time Active Data Warehouses (2012) (3)
- Editorial: Machine Learning Techniques on Gene Function Prediction (2019) (3)
- Effector-GAN: prediction of fungal effector proteins based on pretrained deep representation learning methods and generative adversarial networks (2022) (3)
- MDICC: novel method for multi-omics data integration and cancer subtype identification (2022) (3)
- WMSA: a novel method for multiple sequence alignment of DNA sequences (2022) (3)
- Regulator Network Analysis of Rice and Maize Yield-Related Genes (2020) (3)
- A Novel Comparative Sequence Analysis Method for ncRNA Secondary Structure Prediction without Multiple Sequence Alignment (2008) (2)
- Progress in the development of antimicrobial peptide prediction tools. (2020) (2)
- GRRFNet: Guided Regularized Random Forest-based Gene Regulatory Network Inference Using Data Integration (2020) (2)
- An Improved Diverse Density Algorithm for Multiple Overlapped Instances (2008) (2)
- The accurate prediction and characterization of cancerlectin by a combined machine learning and GO analysis. (2021) (2)
- A multi-label learning model for predicting drug-induced pathology in multi-organ based on toxicogenomics data (2022) (2)
- Identification Number Recognition Based on Random Forests (2012) (2)
- A novel convolution attention model for predicting transcription factor binding sites by combination of sequence and shape (2021) (2)
- Computational biology and chemistry Special section editorial: Computational analyses for miRNA (2021) (2)
- Novel H/ACA Box snoRNA Mining and Secondary Structure Prediction Algorithms (2009) (2)
- Machine Learning Techniques for High-Throughput Structure and Function Analysis for Proteomics and Genomics. (2020) (2)
- Prediction of protein solubility based on sequence physicochemical patterns and distributed representation information with DeepSoluE (2023) (2)
- MMFGRN: a multi-source multi-model fusion method for gene regulatory network reconstruction (2021) (2)
- ORS‐Pred: An optimized reduced scheme‐based identifier for antioxidant proteins (2021) (2)
- Enhancer-FRL: Improved and Robust Identification of Enhancers and Their Activities Using Feature Representation Learning (2022) (2)
- Computational Prediction of Protein Arginine Methylation Based on Composition–Transition–Distribution Features (2020) (2)
- CarSite-II: an integrated classification algorithm for identifying carbonylated sites based on K-means similarity-based undersampling and synthetic minority oversampling techniques (2021) (2)
- DuplexFinder: Predicting the miRNA - miRNA* duplex from the animal precursors (2010) (2)
- SeedsGraph: an efficient assembler for next-generation sequencing data (2015) (2)
- Iteratively collective prediction of disease-gene associations through the incomplete network (2017) (2)
- DeepCap-Kcr: accurate identification and investigation of protein lysine crotonylation sites based on capsule network (2021) (2)
- Identification and classification of promoters using the attention mechanism based on long short-term memory (2022) (2)
- Using distances between Top-n-gram and residue pairs for protein remote homology detection (2014) (2)
- Advanced learning for large-scale heterogeneous computing (2016) (2)
- Annotation-retrieval reinforcement by visual cognition modeling on manifold (2016) (2)
- Sequence-Based Prediction with Feature Representation Learning and Biological Function Analysis of Channel Proteins. (2022) (1)
- An Improved Quick Algorithm for Aligning DNA/RNA Sequences (2007) (1)
- Protein-DNA Binding Residues Prediction Using a Deep Learning Model with Hierarchical Feature Extraction. (2022) (1)
- Explainable deep graph learning accurately modeling the peptide secondary structure prediction (2022) (1)
- Identi fi cation of cytokine via an improved genetic algorithm (1)
- Explainable Deep Hypergraph Learning Modeling the Peptide Secondary Structure Prediction (2023) (1)
- Identifying and Classifying Enhancers by Dinucleotide-Based Auto-Cross Covariance and Attention-Based Bi-LSTM (2022) (1)
- Briefings in functional genomics special section editorial: analysis of integrated multiple omics data. (2021) (1)
- VPTMdb: a viral post-translational modification database (2020) (1)
- GA combined with structural comparison to improve the prediction of RNA secondary structure from comparative sequence alignment (2011) (1)
- Identifying Cleavage Sites of Gelatinases A and B by Integrating Feature Computing Models (2018) (1)
- A novel fast multiple nucleotide sequence alignment method based on FM-index (2021) (1)
- Prediction of presynaptic and postsynaptic neurotoxins based on feature extraction. (2021) (1)
- News Popularity Prediction with Local-Global Long-Short-Term Embedding (2021) (1)
- Clustering of genes from microarray data using hierarchical projective adaptive resonance theory: a case study of tuberculosis. (2021) (1)
- Dynamic result optimization for keyword search over relational databases (2014) (1)
- BDSCyto: An Automated Approach for Identifying Cytokines Based on Best Dimension Searching (2016) (1)
- Studying the drug treatment pattern based on the action of drug and multi-layer network model (2019) (1)
- Automatic extraction of ocean internal waves based on multi-scale fusion and elliptical tracking region method (2010) (1)
- CRCF: A Method of Identifying Secretory Proteins of Malaria Parasites (2021) (1)
- Location and Route Tracking in University from Photos without GPS Information (2012) (1)
- Research of Efficient C/S Model Based File Transfer Method (2012) (1)
- A novel collaborative filtering model for LncRNA-disease association prediction based on the Naïve Bayesian classifier (2019) (1)
- A survey on the algorithm and development of multiple sequence alignment (2022) (1)
- Identification of Thermophilic Proteins Based on Sequence-Based Bidirectional Representations from Transformer-Embedding Features (2023) (1)
- iKcr_CNN: A novel computational tool for imbalance classification of human nonhistone crotonylation sites based on convolutional neural networks with focal loss (2022) (1)
- IEEE Access Special Section Editorial: Feature Representation and Learning Methods With Applications in Large-Scale Biological Sequence Analysis (2021) (1)
- DeepMPF: deep learning framework for predicting drug–target interactions based on multi-modal representation with meta-path semantic analysis (2023) (1)
- Bioinformatics analysis and collection of protein post-translational modification sites in human viruses (2020) (1)
- Distant metastasis identification based on optimized graph representation of gene interaction patterns (2021) (1)
- Selective ensemble learning with parallel optimization and hierarchical selection (2015) (1)
- Membrane Protein Identification via Multi-view Graph Regularized k-Local Hyperplane Distance Nearest Neighbor Model (2021) (1)
- Editorial: Latest Computational Techniques for Big Data Era Bioinformatics Problems (2017) (1)
- MetaSEM: Gene Regulatory Network Inference from Single-Cell RNA Data by Meta-Learning (2023) (1)
- Guest Editorial: Bio-Inspired Computing Models and Algorithms (2020) (1)
- Local augmented graph neural network for multi-omics cancer prognosis prediction and analysis. (2023) (0)
- GATSDCD: Prediction of circRNA-Disease Associations Based on Singular Value Decomposition and Graph Attention Network (2022) (0)
- Single-cell TF-DNA binding prediction and analysis based on transfer learning framework (2022) (0)
- Current Bioinformatics's New and Improved Impact Factor—1.189 (2019) (0)
- Matrix reconstruction with reliable neighbors for predicting potential MiRNA-disease associations (2022) (0)
- A Unified Deep Learning Framework for Single-Cell ATAC-Seq Analysis Based on ProdDep Transformer Encoder (2023) (0)
- MRMD3.0: A Python Tool and Webserver for Dimensionality Reduction and Data Visualization Via an Ensemble Strategy (2023) (0)
- 基于分层筛选和动态更新的并行选择集成算法 (Selective Ensemble Learning Algorithm Based on Hierarchical Selection and Dynamic Updating in Parallel) (2017) (0)
- Editorial: Computational Learning Models and Methods Driven by Omics for Precision Medicine (2020) (0)
- Preface (2018) (0)
- Editorial: Machine learning for biological sequence analysis (2023) (0)
- Towards Cost Effective Privacy Provision for Typed Resources in IoT Environment (S) (2018) (0)
- Learning Planning and Recommendation Based on an Adaptive Architecture on Data Graph, Information Graph and Knowledge Graph (2017) (0)
- Meet Our Associate Editor (2017) (0)
- Predicting cell type-specific effects of variants on TF-DNA binding by meta-learning (2022) (0)
- Integrating Object Detection and Tracking in Outdoor Environment (2012) (0)
- The regulation of silkworm fibroin L chain production by miRNA-965 and miRNA-1926 in insect cells (2012) (0)
- A Machine Learning Method to Identify Umami Peptide Sequences by Using Multiplicative LSTM Embedded Features (2023) (0)
- MechRetro is a chemical-mechanism-driven graph learning framework for interpretable retrosynthesis prediction and pathway planning (2022) (0)
- Comparative Genomics and Functional Genomics Analysis in Plants (2023) (0)
- String kernels construction and fusion: a survey with bioinformatics application (2022) (0)
- Identification of a comprehensive alternative splicing function during epithelial-mesenchymal transition (2023) (0)
- m5U-SVM: identification of RNA 5-methyluridine modification sites based on multi-view features of physicochemical features and distributed representation (2023) (0)
- Structured Sparse Regularized TSK Fuzzy System for predicting therapeutic peptides (2022) (0)
- HAlign 3: Fast Multiple Alignment of Ultra-Large Numbers of Similar DNA/RNA Sequences (2022) (0)
- Laplacian Regularized Sparse Representation Based Classifier for Identifying DNA N4-Methylcytosine Sites via <inline-formula><tex-math notation="LaTeX">$L_{2,1/2}$</tex-math><alternatives><mml:math><mml:msub><mml:mi>L</mml:mi><mml:mrow><mml:mn>2</mml:mn><mml:mo>,</mml:mo><mml:mn>1</mml:mn><mml:mo>/< (2023) (0)
- Identify RNA-associated subcellular localizations based on multi-label learning using Chou’s 5-steps rule (2021) (0)
- Identification of plant vacuole proteins by exploiting deep representation learning features (2022) (0)
- DeepM6ASeq-EL: prediction of human N6-methyladenosine (m6A) sites with LSTM and ensemble learning (2021) (0)
- Comparative genome analysis of plant ascomycete fungal pathogens with different lifestyles reveals distinctive virulence strategies (2022) (0)
- SSNMDI: a novel joint learning model of semi-supervised non-negative matrix factorization and data imputation for clustering of single-cell RNA-seq data. (2023) (0)
- PCB: A pseudotemporal causality-based Bayesian approach to identify EMT-associated regulatory relationships of AS events and RBPs during breast cancer progression (2023) (0)
- Construction of baculovirus expression vector of miRNAs and its expression in insect cells (2012) (0)
- Reference-Based Sequence Classification (2019) (0)
- Data Mining and Network Analytics in Bioinformatics and Medicine (2018) (0)
- Identification of cytokine via an improved genetic algorithm (2014) (0)
- Biocomputing and Synthetic Biology in Cells: Cells Special Issue (2020) (0)
- Development of particle swarm optimization algorithm (2011) (0)
- Investigating Maize Yield-Related Genes in Multiple Omics Interaction Network Data (2020) (0)
- nDNA-prot: identification of DNA-binding proteins based on unbalanced classification (2014) (0)
- iTTCA-RF: a random forest predictor for tumor T cell antigens (2021) (0)
- Multi-objective optimization and data analysis in informationization (2019) (0)
- A Graphic Processing Unit Web Server for Computing Correlation Coefficients for Gene Expression Data (2015) (0)
- Identification of DNA-binding Proteins via Multi-view LSSVM with Independence Criterion. (2022) (0)
- PHAT: interpretable prediction of peptide secondary structures (2022) (0)
- MDADP: A Webserver Integrating Database and Prediction Tools for Microbe-Disease Associations (2022) (0)
- Editorial: Machine Learning Techniques on Gene Function Prediction Volume II (2022) (0)
- SkipCPP-Pred: an improved and promising sequence-based predictor for predicting cell-penetrating peptides (2017) (0)
- Data Mining and Network Analytics in Bioinformatics (2018) (0)
- Reusable Logic Gates Based on DNA Strand Branch Migration (2015) (0)
- Endogenous field thermal chemotherapy for the prevention of recurrence of urothelial carcinoma of bladde (2011) (0)
- Probability-based collaborative filtering model for predicting gene–disease associations (2017) (0)
- Ecological and network analyses identify four microbial species with potential significance for the diagnosis/treatment of ulcerative colitis (UC) (2021) (0)
- Dimensionality reduction and visualization of single-cell RNA-seq data with an improved deep variational autoencoder. (2023) (0)
- Corrigendum Investigation and development of maize fused network analysis with multi-omics [Plant Physiol. Biochem. 141 (2019) 380-387]. (2019) (0)
- The Characterization of Structure and Prediction for Aquaporin in Tumour Progression by Machine Learning (2022) (0)
- CarSite-II: an integrated classification algorithm for identifying carbonylated sites based on K-means similarity-based undersampling and synthetic minority oversampling techniques (2021) (0)
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