Aidong Zhang
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Computer Science
Aidong Zhang's Degrees
- PhD Computer Science University of California, Santa Barbara
- Masters Computer Science University of California, Santa Barbara
- Bachelors Computer Science Peking University
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Why Is Aidong Zhang Influential?
(Suggest an Edit or Addition)According to Wikipedia, Aidong Zhang is a computer scientist whose research topics include machine learning and bioinformatics. She is William Wulf Faculty Fellow and Professor of Computer Science at the University of Virginia, where she also holds affiliations with the Department of Biomedical Engineering and School of Data Science.
Aidong Zhang'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
- Cluster analysis for gene expression data: a survey (2004) (1315)
- On mining cross-graph quasi-cliques (2005) (236)
- DHC: a density-based hierarchical clustering method for time series gene expression data (2003) (193)
- Interrelated two-way clustering: an unsupervised approach for gene expression data analysis (2001) (190)
- Representation Learning for Treatment Effect Estimation from Observational Data (2018) (185)
- Semantic integration to identify overlapping functional modules in protein interaction networks (2007) (162)
- A Survey on Causal Inference (2020) (145)
- A Multi-View Deep Learning Framework for EEG Seizure Detection (2019) (138)
- A Deep Learning Approach to Link Prediction in Dynamic Networks (2014) (137)
- Protein Interaction Networks: Computational Analysis (2009) (133)
- On handling negative transfer and imbalanced distributions in multiple source transfer learning (2014) (103)
- Survey: Functional Module Detection from Protein-Protein Interaction Networks (2014) (103)
- Identification of Information Flow‐Modulating Drug Targets: A Novel Bridging Paradigm for Drug Discovery (2008) (96)
- Advanced Analysis of Gene Expression Microarray Data (2006) (96)
- A novel functional module detection algorithm for protein-protein interaction networks (2006) (94)
- Bridging centrality: graph mining from element level to group level (2008) (91)
- Risk Prediction on Electronic Health Records with Prior Medical Knowledge (2018) (90)
- Mining coherent gene clusters from gene-sample-time microarray data (2004) (89)
- Deep Patient Similarity Learning for Personalized Healthcare (2018) (82)
- A Correlated Topic Model Using Word Embeddings (2017) (81)
- A Novel Semi-Supervised Deep Learning Framework for Affective State Recognition on EEG Signals (2014) (80)
- A Multi-view Deep Learning Method for Epileptic Seizure Detection using Short-time Fourier Transform (2017) (79)
- 2K09 and thereafter : the coming era of integrative bioinformatics, systems biology and intelligent computing for functional genomics and personalized medicine research (2010) (79)
- Information-theoretic metrics for visualizing gene-environment interactions. (2007) (70)
- Bridging Centrality: Identifying Bridging Nodes in Scale-free Networks (2006) (68)
- Protein complex identification through Markov clustering with firefly algorithm on dynamic protein-protein interaction networks (2016) (67)
- Personalized disease prediction using a CNN-based similarity learning method (2017) (66)
- Mining of Attribute Interactions Using Information Theoretic Metrics (2009) (62)
- Clustering Methods in a Protein–Protein Interaction Network (2007) (61)
- Affective state recognition from EEG with deep belief networks (2013) (58)
- A novel channel-aware attention framework for multi-channel EEG seizure detection via multi-view deep learning (2018) (54)
- Towards Confidence in the Truth: A Bootstrapping based Truth Discovery Approach (2016) (52)
- Privacy-preserving Kruskal-Wallis test (2013) (52)
- Predicting essential proteins based on RNA-Seq, subcellular localization and GO annotation datasets (2018) (52)
- A Multi-task Framework for Monitoring Health Conditions via Attention-based Recurrent Neural Networks (2017) (51)
- MuVAN: A Multi-view Attention Network for Multivariate Temporal Data (2018) (50)
- Mining cross-graph quasi-cliques in gene expression and protein interaction data (2005) (50)
- Predicting Protein Function by Frequent Functional Association Pattern Mining in Protein Interaction Networks (2010) (50)
- AMBIENCE: A Novel Approach and Efficient Algorithm for Identifying Informative Genetic and Environmental Associations With Complex Phenotypes (2008) (49)
- Multi-source deep learning for information trustworthiness estimation (2013) (47)
- Identification of dynamic protein complexes based on fruit fly optimization algorithm (2016) (46)
- Protein complex detection with semi-supervised learning in protein interaction networks (2011) (45)
- Collaboratively Improving Topic Discovery and Word Embeddings by Coordinating Global and Local Contexts (2017) (44)
- Integrate multi-omics data with biological interaction networks using Multi-view Factorization AutoEncoder (MAE) (2019) (44)
- Interactive exploration of coherent patterns in time-series gene expression data (2003) (44)
- Unsupervised Discovery of Drug Side-Effects from Heterogeneous Data Sources (2017) (43)
- AffinityNet: semi-supervised few-shot learning for disease type prediction (2018) (41)
- MeSHProbeNet: a self-attentive probe net for MeSH indexing (2019) (41)
- OMS-TL: a framework of online multiple source transfer learning (2013) (41)
- A survey on literature based discovery approaches in biomedical domain (2019) (40)
- DeepFusion: A Deep Learning Framework for the Fusion of Heterogeneous Sensory Data (2019) (39)
- A topological measurement for weighted protein interaction network (2005) (38)
- Integrate multi-omic data using affinity network fusion (ANF) for cancer patient clustering (2017) (37)
- Mining phenotypes and informative genes from gene expression data (2003) (37)
- Information-theoretic gene-gene and gene-environment interaction analysis of quantitative traits (2009) (36)
- Wave2Vec: Deep representation learning for clinical temporal data (2019) (36)
- Identifying informative risk factors and predicting bone disease progression via deep belief networks. (2014) (36)
- A “Seed-Refine” Algorithm for Detecting Protein Complexes From Protein Interaction Data (2007) (36)
- BioStar models of clinical and genomic data for biomedical data warehouse design (2005) (34)
- Topic Discovery for Short Texts Using Word Embeddings (2016) (34)
- An interactive approach to mining gene expression data (2005) (33)
- A Survey on Context Learning (2017) (32)
- DeepMV: Multi-View Deep Learning for Device-Free Human Activity Recognition (2020) (32)
- Detecting epileptic seizures with electroencephalogram via a context-learning model (2016) (31)
- mmMesh: towards 3D real-time dynamic human mesh construction using millimeter-wave (2021) (30)
- Improved artificial bee colony algorithm and its application in data clustering (2010) (30)
- Clustering and overlapping modules detection in PPI network based on IBFO (2013) (30)
- LRBM: A Restricted Boltzmann Machine Based Approach for Representation Learning on Linked Data (2014) (30)
- A novel wavelet-based model for EEG epileptic seizure detection using multi-context learning (2017) (26)
- Wave2Vec: Learning Deep Representations for Biosignals (2017) (26)
- Comparison of information-theoretic to statistical methods for gene-gene interactions in the presence of genetic heterogeneity (2010) (26)
- TAdaNet: Task-Adaptive Network for Graph-Enriched Meta-Learning (2020) (26)
- Prediction and Informative Risk Factor Selection of Bone Diseases (2013) (26)
- CASCADE: a novel quasi all paths-based network analysis algorithm for clustering biological interactions (2008) (26)
- Boost Feature Subset Selection: A New Gene Selection Algorithm for Microarray Dataset (2006) (25)
- The interaction index, a novel information-theoretic metric for prioritizing interacting genetic variations and environmental factors (2009) (25)
- Generating Medical Hypotheses Based on Evolutionary Medical Concepts (2017) (25)
- Affinity network fusion and semi-supervised learning for cancer patient clustering. (2018) (24)
- A multi-context learning approach for EEG epileptic seizure detection (2018) (24)
- Correlation Networks for Extreme Multi-label Text Classification (2020) (24)
- Predicting the associations between microbes and diseases by integrating multiple data sources and path-based HeteSim scores (2019) (24)
- VizStruct: exploratory visualization for gene expression profiling (2004) (24)
- Identification of functional hubs and modules by converting interactome networks into hierarchical ordering of proteins (2010) (23)
- Multi-modal learning for video recommendation based on mobile application usage (2015) (23)
- Towards interactive exploration of gene expression patterns (2003) (22)
- Collaborative restricted Boltzmann machine for social event recommendation (2016) (22)
- Prediction of Protein Function Using Common-Neighbors in Protein-Protein Interaction Networks (2006) (22)
- Interpretable Word Embeddings for Medical Domain (2018) (22)
- Recurrent Imputation for Multivariate Time Series with Missing Values (2019) (21)
- Detecting ECG abnormalities via transductive transfer learning (2012) (21)
- On the Analysis of Diseases and Their Related Geographical Data (2017) (21)
- On the Estimation of Treatment Effect with Text Covariates (2019) (21)
- Tracking Temporal Community Strength in Dynamic Networks (2015) (21)
- Identification of Overlapping Functional Modules in Protein Interaction Networks: Information Flow-based Approach (2006) (20)
- A probabilistic framework to predict protein function from interaction data integrated with semantic knowledge (2008) (20)
- Uncorrelated Patient Similarity Learning (2018) (20)
- Metric Learning on Healthcare Data with Incomplete Modalities (2019) (19)
- Multi-task Sparse Metric Learning for Monitoring Patient Similarity Progression (2018) (19)
- An iterative strategy for pattern discovery in high-dimensional data sets (2002) (19)
- Interrelated Two-Way Clustering and its Application on Gene Expression Data (2005) (19)
- Multi-view Factorization AutoEncoder with Network Constraints for Multi-omic Integrative Analysis (2018) (19)
- The clustering model and algorithm of PPI network based on propagating mechanism of artificial bee colony (2013) (18)
- Estimating Local Information Trustworthiness via Multi-source Joint Matrix Factorization (2012) (18)
- Learning Fair Node Representations with Graph Counterfactual Fairness (2022) (17)
- Matching Titles with Cross Title Web-Search Enrichment and Community Detection (2014) (17)
- Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology, BCB 2010, Niagara Falls, NY, USA, August 2-4, 2010 (2010) (17)
- Fourier harmonic approach for visualizing temporal patterns of gene expression data (2003) (17)
- ACE: Adaptively Similarity-Preserved Representation Learning for Individual Treatment Effect Estimation (2019) (17)
- A hybrid self-attention deep learning framework for multivariate sleep stage classification (2019) (17)
- Online Truth Discovery on Time Series Data (2018) (17)
- Deconfounding with Networked Observational Data in a Dynamic Environment (2021) (17)
- Multi-agent Model Analysis of the Containment Strategy for Avian Influenza (AI) in South Korea (2008) (17)
- Towards self‐learning based hypotheses generation in biomedical text domain (2018) (17)
- Risk Factor Analysis Based on Deep Learning Models (2016) (16)
- Selecting informative genes from microarray dataset by incorporating gene ontology (2005) (16)
- Functional module detection by functional flow pattern mining in protein interaction networks (2008) (16)
- Towards Confidence Interval Estimation in Truth Discovery (2019) (16)
- Interactive visualization and analysis for gene expression data (2002) (15)
- Ant Colony Optimization with Multi-Agent Evolution for Detecting Functional Modules in Protein-Protein Interaction Networks (2012) (15)
- Deep Metric Learning: The Generalization Analysis and an Adaptive Algorithm (2019) (15)
- Metric Learning from Probabilistic Labels (2018) (15)
- Pairwise Learning with Differential Privacy Guarantees (2020) (15)
- Efficient Modularization of Weighted Protein Interaction Networks using k-Hop Graph Reduction (2006) (15)
- Dynamic tracking of functional gene modules in treated juvenile idiopathic arthritis (2015) (14)
- Hypothesis Generation From Text Based On Co-Evolution Of Biomedical Concepts (2019) (14)
- A two-step approach for clustering proteins based on protein interaction profile (2005) (14)
- Information-theoretic identification of predictive SNPs and supervised visualization of genome-wide association studies (2006) (14)
- DTEC: Distance Transformation Based Early Time Series Classification (2019) (14)
- Concepts-Bridges: Uncovering Conceptual Bridges Based on Biomedical Concept Evolution (2018) (14)
- Mining gene–sample–time microarray data: a coherent gene cluster discovery approach (2007) (14)
- Learning, Analyzing and Predicting Object Roles on Dynamic Networks (2013) (13)
- Malicious Attacks against Deep Reinforcement Learning Interpretations (2020) (13)
- ACC-FMD: ant colony clustering for functional module detection in protein-protein interaction networks (2015) (12)
- Heterogeneous Spatio-Temporal Graph Convolution Network for Traffic Forecasting with Missing Values (2021) (12)
- HAM-FMD: Mining functional modules in protein-protein interaction networks using ant colony optimization and multi-agent evolution (2013) (12)
- Learning Effective Connectivity Network Structure from fMRI Data Based on Artificial Immune Algorithm (2016) (12)
- VizStruct for visualization of genome-wide SNP analyses (2006) (12)
- Spatial modeling of bone microarchitecture (2012) (11)
- Virtual Gene: Using Correlations Between Genes to Select Informative Genes on Microarray Datasets (2005) (11)
- Improved Ant Colony Optimization for Detecting Functional Modules in Protein-Protein Interaction Networks (2012) (11)
- ESPD: a pattern detection model underlying gene expression profiles (2004) (11)
- VizCluster: An Interactive Visualization Approach to Cluster Analysis and Its Application on Microarray Data (2002) (11)
- SYMPHONY, an information-theoretic method for gene–gene and gene–environment interaction analysis of disease syndromes (2013) (11)
- VizCluster and its Application on Classifying Gene Expression Data (2004) (11)
- Semantic similarity based feature extraction from microarray expression data (2009) (11)
- Context-learning based electroencephalogram analysis for epileptic seizure detection (2015) (11)
- Privacy-aware Synthesizing for Crowdsourced Data (2019) (11)
- Improving EEG feature learning via synchronized facial video (2015) (11)
- GPX: Interactive Mining of Gene Expression Data (2004) (11)
- Multi-agent modeling of the South Korean avian influenza epidemic (2010) (11)
- Mining multiple phenotype structures underlying gene expression profiles (2003) (11)
- A Maximum Entropy Approach to Classifying Gene Array Data Sets (2001) (10)
- A MultiTask Framework for Monitoring Health Conditions via Attention-based Recurrent Neural Networks (2017) (10)
- Analysis of Differentially-Expressed Genes (2006) (10)
- Clustering PPI data based on Improved functional-flow model through Quantum-behaved PSO (2012) (10)
- Mining Protein Interactome Networks to Measure Interaction Reliability and Select Hub Proteins (2010) (10)
- Evolutionary analysis of functional modules in dynamic PPI networks (2012) (10)
- Bone disease prediction and phenotype discovery using feature representation over electronic health records (2015) (10)
- On Mining Statistically Significant Attribute Association Information (2010) (10)
- flowNet: Flow-Based Approach for Efficient Analysis of Complex Biological Networks (2009) (10)
- Pseudo Cold Start Link Prediction with Multiple Sources in Social Networks (2012) (10)
- A General Approach to Mining Quality Pattern-Based Clusters from Microarray Data (2005) (10)
- Modeling of environmental and genetic interactions with AMBROSIA, an information-theoretic model synthesis method (2011) (10)
- A two-stage search strategy for detecting multiple loci associated with rheumatoid arthritis (2009) (10)
- GLIMA: Global and Local Time Series Imputation with Multi-directional Attention Learning (2020) (9)
- A generative framework for prediction and informative risk factor selection of bone diseases (2015) (9)
- Identifying Affinity Classes of Inorganic Materials Binding Sequences via a Graph-Based Model (2015) (9)
- An improved projection pursuit clustering model and its application based on Quantum-behaved PSO (2010) (9)
- Learning Brain Effective Connectivity Network Structure Using Ant Colony Optimization Combining With Voxel Activation Information (2020) (8)
- Damage isolation via strategic self-destruction: A case study in 2D random networks (2009) (8)
- Augmenting word embeddings through external knowledge-base for biomedical application (2017) (8)
- ANN Based Protein Function Prediction Using Integrated Protein-Protein Interaction Data (2009) (8)
- Incorporating Biological Knowledge with Factor Graph Neural Network for Interpretable Deep Learning (2019) (8)
- PREDICTION OF PROTEIN FUNCTION FROM CONNECTIVITY OF PROTEIN INTERACTION NETWORKS (2010) (8)
- Multivariate Sleep Stage Classification using Hybrid Self-Attentive Deep Learning Networks (2018) (8)
- Clustering PPI Data Based on Bacteria Foraging Optimization Algorithm (2011) (8)
- MAE-FMD: Multi-agent evolutionary method for functional module detection in protein-protein interaction networks (2014) (8)
- 3D bone microarchitecture modeling and fracture risk prediction (2012) (7)
- Multi-Cause Effect Estimation with Disentangled Confounder Representation (2021) (7)
- Finding Informative Genes from Multiple Microarray Experiments: A Graph-based Consensus Maximization Model (2011) (7)
- An ant colony optimization algorithm for learning brain effective connectivity network from fMRI data (2016) (7)
- Semi-supervised learning protein complexes from protein interaction networks (2010) (7)
- A Computational Model of Mitigating Disease Spread in Spatial Networks (2011) (7)
- Omics Informatics: From Scattered Individual Software Tools to Integrated Workflow Management Systems (2017) (7)
- SS-ClusterTree: a subspace clustering based indexing algorithm over high-dimensional image features (2008) (7)
- SCI: Subspace Learning Based Counterfactual Inference for Individual Treatment Effect Estimation (2021) (7)
- A collective NMF method for detecting protein functional module from multiple data sources (2012) (7)
- Feature Selection Model for Diagnosis, Electronic Medical Records and Geographical Data Correlation (2016) (7)
- Identification of critical location on a microstructural bone network (2010) (6)
- A Privacy Preserving Markov Model for Sequence Classification (2013) (6)
- BFO-FMD: bacterial foraging optimization for functional module detection in protein–protein interaction networks (2018) (6)
- A generative model of identifying informative proteins from dynamic PPI networks (2014) (6)
- iOPTICS-GSO for identifying protein complexes from dynamic PPI networks (2017) (6)
- EC-GAN: Inferring Brain Effective Connectivity via Generative Adversarial Networks (2020) (6)
- Towards Detecting Protein Complexes from Protein Interaction Data (2006) (6)
- Analysis on Community Variational Trend in Dynamic Networks (2014) (6)
- Protein Interaction Networks: Introduction (2009) (6)
- Detecting Functional Modules Based on a Multiple-Grain Model in Large-Scale Protein-Protein Interaction Networks (2016) (5)
- msiDBN: A Method of Identifying Critical Proteins in Dynamic PPI Networks (2014) (5)
- SCI (2021) (5)
- SIGN: reliable protein interaction identification by integrating the Similarity In GO and the similarity in protein interaction Networks (2007) (5)
- Protein Interaction Networks: Distance-Based Modularity Analysis (2009) (5)
- Optimizing Flow-based Modularization by Iterative Centroid Search in Protein Interaction Networks (2007) (5)
- Co-regulated Protein Functional Modules with Varying Activities in Dynamic PPI Networks (2013) (5)
- VizCluster and Its Application on Clustering Gene Expression Data (2002) (5)
- Virtual Gene: A Gene Selection Algorithm for Sample Classification on Microarray Datasets (2005) (5)
- A link prediction based unsupervised rank aggregation algorithm for informative gene selection (2012) (4)
- Visualized Classification of Multiple Sample Types (2002) (4)
- Analysis of Pharmacokinetics, Pharmacodynamics, and Pharmacogenomics Data Sets Using VizStruct, a Novel Multidimensional Visualization Technique (2004) (4)
- Towards Interpretation of Pairwise Learning (2020) (4)
- Continual knowledge infusion into pre-trained biomedical language models (2021) (4)
- Progression Analysis of Community Strengths in Dynamic Networks (2013) (4)
- Critical protein detection in dynamic PPI networks with multi-source integrated deep belief nets (2013) (4)
- DeepMV (2020) (4)
- Identifying inorganic material affinity classes for peptide sequences based on context learning (2015) (4)
- AN ARTIFICIAL FISH SWARM BASED SUPERVISED GENE RANK AGGREGATION ALGORITHM FOR INFORMATIVE GENES STUDIES (2011) (4)
- Secure Inter-Domain Forwarding Loop Test in Software Defined Networks (2020) (4)
- Computational Framework for Microstructural Bone Dynamics Model and Its Evaluation (2010) (4)
- ACOEC-FD: Ant Colony Optimization for Learning Brain Effective Connectivity Networks From Functional MRI and Diffusion Tensor Imaging (2019) (4)
- Inferring Effective Connectivity Networks From fMRI Time Series With a Temporal Entropy-Score (2021) (4)
- Assessing Reliability of Protein-Protein Interactions by Semantic Data Integration (2007) (4)
- Demystify Hyperparameters for Stochastic Optimization with Transferable Representations (2022) (4)
- Continual representation learning for evolving biomedical bipartite networks (2021) (4)
- A graph-based approach for computational model of bone microstructure (2010) (4)
- Gene Co-Adaboost: a semi-supervised approach for classifying gene expression data (2011) (4)
- BioStar+: a data warehouse schema for integrating clinical and genomic data from HIV patients (2012) (4)
- Towards Automating Model Explanations with Certified Robustness Guarantees (2022) (3)
- A Stagewise Hyperparameter Scheduler to Improve Generalization (2021) (3)
- Learning Distance Metrics from Probabilistic Information (2020) (3)
- Global Interpretation for Patient Similarity Learning (2020) (3)
- Reconstructing context-specific gene regulatory network and identifying modules and network rewiring through data integration. (2017) (3)
- Mathematical network model for bone mineral density (BMD) and bone quality assessment (2011) (3)
- Privacy Preserving Calculation of Fisher Criterion Score for Informative Gene Selection (2014) (3)
- A framework for robust differential network modular structure discovery from RNA-seq data (2016) (3)
- Opportunities for computational techniques for multi-omics integrated personalized medicine (2014) (3)
- A graph-based cluster ensemble method to detect protein functional modules from multiple information sources (2012) (3)
- Modularization of Protein Interaction Networks by Incorporating Gene Ontology Annotations (2007) (3)
- CHAPTER 1 CLUSTERING METHODS IN PROTEIN-PROTEIN INTERACTION NETWORK (2006) (3)
- Feature Extraction from Microarray Expression Data by Integration of Semantic Knowledge (2007) (3)
- Discovering Frequent Patterns of Functional Associations in Protein Interaction Networks for Function Prediction (2008) (3)
- Enhanced visualization of time series through higher fourier harmonics (2003) (3)
- Estimating Brain Effective Connectivity in fMRI data by Non-stationary Dynamic Bayesian Networks (2019) (3)
- Influence based analysis of community consistency in dynamic networks (2016) (2)
- An Attention-based Recurrent Neural Networks Framework for Health Data Analysis (2018) (2)
- Restructuring Protein Interaction Networks to Reveal Structural Hubs and Functional Organizations (2009) (2)
- A system for geoanalysis of clinical and geographical data (2014) (2)
- BoneNET: a network model of bone microstructure and dynamics (2013) (2)
- DRN: Bringing Greedy Layer-Wise Training into Time Dimension (2015) (2)
- A Framework for Identifying Affinity Classes of Inorganic Materials Binding Peptide Sequences (2013) (2)
- A Similarity-Based Concepts Mapping Method between Ontologies (2015) (2)
- Interrelated Clustering: An Approach for Gene Expression Data Analysis (2003) (2)
- DeepFusion (2019) (2)
- Tracking Community Consistency in Dynamic Networks: An Influence-Based Approach (2021) (2)
- Mining Coherent Gene Clusters from Three-Dimensional Microarray Data ⁄ (2004) (2)
- De-noise biological network from heterogeneous sources via link propagation (2012) (1)
- Detecting functional modules in dynamic protein-protein interaction networks using Markov Clustering and Firefly Algorithm (2014) (1)
- Concept-Level Model Interpretation From the Causal Aspect (2022) (1)
- Protein Interaction Networks: Data Fusion in the Analysis of Protein Interaction Networks (2009) (1)
- Finding informative genes for prostate cancer: a general framework of integrating heterogeneous sources (2012) (1)
- Dynamic Analysis of the Possible Effects of Leptin in Some Metabolic Disorders in Obesity (2017) (1)
- Bacterial biological mechanisms for functional module detection in PPI networks (2016) (1)
- Functional Node Detection on Linked Data (2015) (1)
- Topological Analysis of Protein Interaction Networks (2009) (1)
- Introduction to the Special Issue on Bioinformatics (2004) (1)
- Artificial bee colony clustering with self-adaptive crossover and stepwise search for brain functional parcellation in fMRI data (2018) (1)
- A Semi-Supervised Learning Approach to Integrated Salient Risk Features for Bone Diseases (2013) (1)
- A Network Modeling Approach for the Spatial Distribution and Structure of Bone Mineral Content (2014) (1)
- Algorithms for Efficient Mining of Statistically Significant Attribute Association Information (2012) (1)
- MESS: A Multilingual Error based String Similarity measure for transliterated name variants (2015) (1)
- A novel information theoretic method for detecting gene-gene and gene-environment interactions in complex diseases (2008) (1)
- Detecting mutual functional gene clusters from multiple related diseases (2013) (1)
- Cinderella in Different Dresses: From A Narrative Perspective (2018) (1)
- An Ensemble Model for Mobile Device based Arrhythmia Detection (2013) (1)
- Protein Interaction Networks: Modularity Analysis of Protein Interaction Networks (2009) (1)
- Knowledge-Guided Efficient Representation Learning for Biomedical Domain (2021) (1)
- mmMesh (2021) (1)
- Integrated feature subset selection/extraction with applications in bioinformatics (2006) (1)
- Analysis of Meta-Learning Approaches for TCGA Pan-cancer Datasets (2020) (1)
- Scheduling Hyperparameters to Improve Generalization: From Centralized SGD to Asynchronous SGD (2022) (1)
- Topic Discovery for Biomedical Corpus Using MeSH Embeddings (2019) (1)
- On the Robustness of Metric Learning: An Adversarial Perspective (2022) (1)
- Functional Flow Simulation Based Analysis of Protein Interaction Network (2010) (1)
- Significant edge detection in target network by exploring multiple auxiliary networks (2015) (0)
- Overview of Microarray Experiments (2006) (0)
- Experimental Approaches to Generation of PPI Data (2009) (0)
- Graph-Theoretic Approaches to Modularity Analysis (2009) (0)
- A graph-based integrative method of detecting consistent protein functional modules from multiple data sources (2015) (0)
- DWE-Med (2019) (0)
- A generative model of identifying informative proteins from dynamic PPI networks (2014) (0)
- Understanding and Enhancing Robustness of Concept-based Models (2022) (0)
- Protein Interaction Networks: Computational Methods for the Prediction of PPIs (2009) (0)
- Signal transduction model based functional module detection algorithm for protein-protein interaction network (2006) (0)
- SIGBio Record Newsletter of the SIGBio ACM Special Interest Group (2013) (0)
- Network mining from element level to group level (2009) (0)
- Functional Influence-Based Approach to Identify Overlapping Modules in Biological Networks (2010) (0)
- The 2010 ACM International Conference on Bioinformatics and Computational Biology : ACM-BCB 2010 : Niagara Falls, New York, U.S.A., August 2-4, 2010 (2010) (0)
- MeSHProbeNet-P (2020) (0)
- Deep Learning and Networks for Integrative Analysis of Multi-Omic Data (2018) (0)
- On Emerging Use Cases and Techniques in Large Networked Data in Biomedical and Social Media Domain (2017) (0)
- Basic Concepts of Molecular Biology (2006) (0)
- On Metric Learning for Complex Data Analysis (2018) (0)
- Bane or Boon? An Autoethnographic Narrative of the English-Medium Instruction Contradictions in a Chinese University (2022) (0)
- Automatic phenotype structure mining underlying gene expression profiles (2005) (0)
- Morsels from Youyang, a miscellany of folk legends written in the 9th century by Duan Chengshi (died 863). Another folklorist, Nai-tung Ting, conducted systematic research into the Cinderella story archetype in both China (0)
- Mining protein complexes based on topology potential from weighted dynamic PPI network (2016) (0)
- Trajectory analysis - Linking genomic and proteomic data with disease progression (2016) (0)
- Devices development and techniques research for space life sciences (2006) (0)
- 2 K 09 and Thereafter : The Coming Era of Integrative Bioinformatics (2010) (0)
- EIC Farewell and New EIC Introduction (2021) (0)
- New Trends in Mining Gene Expression Microarray Data (2006) (0)
- Mining Robust Overlapping Co-Clustering in the Presence of Noise (2020) (0)
- Truth Discovery on Time Series Data (2018) (0)
- Semi-Supervised Learning Method for Coherent Pattern Detection from Gene-Sample-Time Series Datasets (2005) (0)
- An ACO based functional module detection algorithm for protein interaction networks (2011) (0)
- Protein functionality analysis through protein-protein interaction networks (2011) (0)
- Editorial from the New Editor-in-Chief (2017) (0)
- Zhong Rong's Shipin and the aesthetic awareness of the Six Dynasties (1996) (0)
- Language-Culture Pyramid in the Era of Belt and Road (2019) (0)
- A Network Modeling Approach for the Spatial Distribution and Structure of Bone Mineral Content (2014) (0)
- Machine Learning Applications in SNP-Disease Association Study (2008) (0)
- Graph-based analysis of protein-protein interaction data sets (2007) (0)
- Basic Properties and Measurements of Protein Interaction Networks (2009) (0)
- ACM-BCB: Conference on Bioinformatics and Computational Biology (2011) (0)
- Network analysis by topological properties and computational modeling (identifying critical locations and dynamic behaviors in biological and epidemiological networks) (2012) (0)
- Mining coherent patterns and clusters from genomic data (2005) (0)
- BFO-FMD: bacterial foraging optimization for functional module detection in protein–protein interaction networks (2017) (0)
- Dynamic tracking of functional modules in massive biological data sets (2015) (0)
- Advanced Approaches for Integration and Analysis of Genomic Data (2011) (0)
- Vizstruct: A Multidimensional Visualization Algorithm for Gene Expression (2004) (0)
- Flow-Based Analysis of Protein Interaction Networks (2009) (0)
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