Daniela Witten
#16,886
Most Influential Person Now
American biostatistician
Daniela Witten's AcademicInfluence.com Rankings
Daniela Wittenmathematics Degrees
Mathematics
#1223
World Rank
#2048
Historical Rank
Graph Theory
#70
World Rank
#77
Historical Rank
Statistics
#195
World Rank
#247
Historical Rank
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Mathematics
Why Is Daniela Witten Influential?
(Suggest an Edit or Addition)According to Wikipedia, Daniela M. Witten is an American biostatistician. She is a professor and the Dorothy Gilford Endowed Chair of Mathematical Statistics at the University of Washington. Her research investigates the use of machine learning to understand high-dimensional data.
Daniela Witten'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
- An Introduction to Statistical Learning (2021) (5998)
- A general framework for estimating the relative pathogenicity of human genetic variants (2014) (4810)
- An Introduction to Statistical Learning: with Applications in R (2013) (3720)
- CADD: predicting the deleteriousness of variants throughout the human genome (2018) (1845)
- A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis. (2009) (1388)
- The joint graphical lasso for inverse covariance estimation across multiple classes (2011) (758)
- A Framework for Feature Selection in Clustering (2010) (604)
- Sparse Discriminant Analysis (2011) (531)
- Massively parallel functional dissection of mammalian enhancers in vivo (2012) (483)
- Extensions of Sparse Canonical Correlation Analysis with Applications to Genomic Data (2009) (457)
- Penalized classification using Fisher's linear discriminant (2011) (391)
- Hierarchical maintenance of MLL myeloid leukemia stem cells employs a transcriptional program shared with embryonic rather than adult stem cells. (2009) (344)
- New Insights and Faster Computations for the Graphical Lasso (2011) (330)
- Normalization, testing, and false discovery rate estimation for RNA-sequencing data. (2012) (303)
- The Stanford Integrated Psychosocial Assessment for Transplantation (SIPAT): a new tool for the psychosocial evaluation of pre-transplant candidates. (2012) (240)
- MicroRNA expression profiles associated with mutational status and survival in malignant melanoma. (2010) (239)
- Covariance‐regularized regression and classification for high dimensional problems (2009) (236)
- Transcriptional profiling of long non-coding RNAs and novel transcribed regions across a diverse panel of archived human cancers (2012) (228)
- A systematic comparison reveals substantial differences in chromosomal versus episomal encoding of enhancer activity (2016) (219)
- A large-scale standardized physiological survey reveals functional organization of the mouse visual cortex (2019) (193)
- A comparative study of machine learning methods for authorship attribution (2010) (187)
- Node-based learning of multiple Gaussian graphical models (2013) (183)
- Whole exome sequencing study identifies novel rare and common Alzheimer’s-Associated variants involved in immune response and transcriptional regulation (2018) (171)
- Ultra-high throughput sequencing-based small RNA discovery and discrete statistical biomarker analysis in a collection of cervical tumours and matched controls (2010) (168)
- Classification and clustering of sequencing data using a poisson model (2011) (148)
- MODELING MICROBIAL ABUNDANCES AND DYSBIOSIS WITH BETA-BINOMIAL REGRESSION. (2019) (148)
- Discovery of molecular subtypes in leiomyosarcoma through integrative molecular profiling (2009) (134)
- Survival analysis with high-dimensional covariates (2010) (129)
- 3′-End Sequencing for Expression Quantification (3SEQ) from Archival Tumor Samples (2010) (128)
- Tree-Based Methods (2021) (122)
- Inferring Clonal Composition from Multiple Sections of a Breast Cancer (2014) (113)
- Molecular signatures from omics data: From chaos to consensus (2012) (107)
- Selection and estimation for mixed graphical models. (2013) (103)
- Learning graphical models with hubs (2014) (84)
- A large-scale, standardized physiological survey reveals higher order coding throughout the mouse visual cortex (2018) (80)
- A comparison of fold-change and the t-statistic for microarray data analysis (2007) (80)
- Reassessing authorship of the Book of Mormon using delta and nearest shrunken centroid classification (2008) (73)
- Statistical properties of convex clustering. (2015) (69)
- Structured Learning of Gaussian Graphical Models (2012) (68)
- Graph Estimation with Joint Additive Models. (2013) (66)
- The cluster graphical lasso for improved estimation of Gaussian graphical models (2013) (61)
- EXACT SPIKE TRAIN INFERENCE VIA ℓ0 OPTIMIZATION. (2017) (59)
- Fused Lasso Additive Model (2014) (57)
- Convex Modeling of Interactions With Strong Heredity (2014) (54)
- On the assessment of statistical significance of three-dimensional colocalization of sets of genomic elements (2012) (53)
- Network Reconstruction From High-Dimensional Ordinary Differential Equations (2016) (50)
- The Cluster Elastic Net for High-Dimensional Regression With Unknown Variable Grouping (2014) (49)
- Sparse Biclustering of Transposable Data (2014) (49)
- Fast nonconvex deconvolution of calcium imaging data. (2018) (47)
- The Multivariate Hawkes Process in High Dimensions: Beyond Mutual Excitation (2017) (44)
- Postoperative Pain Following Foot and Ankle Surgery: A Prospective Study (2008) (42)
- In Defense of the Indefensible: A Very Naïve Approach to High-Dimensional Inference (2017) (40)
- Is GATA3 Expression Maintained in Regional Metastases?: A Study of Paired Primary and Metastatic Urothelial Carcinomas (2013) (39)
- Linear Model Selection and Regularization (2021) (38)
- Support Vector Machines (2021) (36)
- Selective Inference for Hierarchical Clustering (2020) (35)
- Inference in High Dimensions with the Penalized Score Test (2014) (34)
- SCALPEL: EXTRACTING NEURONS FROM CALCIUM IMAGING DATA. (2017) (33)
- The benefits of implant removal from the foot and ankle. (2012) (32)
- Detection of an endogenous urinary biomarker associated with CYP2D6 activity using global metabolomics. (2014) (31)
- Supervised multidimensional scaling for visualization, classification, and bipartite ranking (2011) (27)
- Pathway Graphical Lasso (2015) (27)
- Testing for a change in mean after changepoint detection (2019) (26)
- TESTING SIGNIFICANCE OF FEATURES BY LASSOED PRINCIPAL COMPONENTS. (2008) (25)
- The Prognostic Value of Tumor-Associated Macrophages in Leiomyosarcoma: A Single Institution Study (2011) (25)
- Nonadaptive explanations for signatures of partial selective sweeps in Drosophila. (2008) (25)
- Scientific research in the age of omics: the good, the bad, and the sloppy (2013) (22)
- Multi‐scale network regression for brain‐phenotype associations (2019) (22)
- Sure Screening for Gaussian Graphical Models (2014) (20)
- A rare missense variant of CASP7 is associated with familial late-onset Alzheimer's disease (2018) (20)
- The Multiple Random Dot Product Graph Model (2018) (19)
- Data‐adaptive additive modeling (2018) (17)
- Adaptive nonparametric regression with the K-nearest neighbour fused lasso. (2020) (16)
- Nearly assumptionless screening for the mutually-exciting multivariate Hawkes process. (2017) (13)
- A Recoding Method to Improve the Humoral Immune Response to an HIV DNA Vaccine (2008) (13)
- Classification of RNA-seq Data (2014) (13)
- Replicates in high dimensions, with applications to latent variable graphical models. (2016) (12)
- Machine learning techniques for mitoses classification (2020) (11)
- Convex Regression with Interpretable Sharp Partitions (2016) (11)
- Selective inference for k-means clustering (2022) (10)
- Endogenous Versus Tumor-Specific Host Response to Breast Carcinoma: A Study of Stromal Response in Synchronous Breast Primaries and Biopsy Site Changes (2010) (10)
- Are clusterings of multiple data views independent? (2019) (10)
- Exact Spike Train Inference Via $\ell_0$ Optimization (2017) (10)
- Inferring the Spiking Rate of a Population of Neurons from Wide-Field Calcium Imaging (2020) (9)
- Optimal estimation of variance in nonparametric regression with random design (2019) (8)
- Statistical Learning (2021) (8)
- More powerful selective inference for the graph fused lasso (2021) (7)
- Testing for association in multiview network data (2019) (7)
- Adaptive Non-Parametric Regression With the $K$-NN Fused Lasso (2018) (7)
- Tree-Values: selective inference for regression trees (2021) (7)
- Penalized unsupervised learning with outliers. (2013) (7)
- Robust Sparse Reduced Rank Regression in High Dimensions (2018) (7)
- Inference after latent variable estimation for single-cell RNA sequencing data. (2022) (6)
- Breast Angiosarcoma: Case Series and Expression of Vascular Endothelial Growth Factor (2009) (6)
- Flexible and Interpretable Models for Survival Data (2019) (6)
- Sparse Reduced Rank Huber Regression in High Dimensions (2022) (5)
- Exponential inequalities for dependent V-statistics via random Fourier features (2020) (5)
- Inferring spikes from calcium imaging in dopamine neurons (2020) (5)
- Stanford Integrated Psychosocial Assessment for Transplantation (2013) (5)
- Penalized Estimation in Complex Models (2016) (4)
- Discussion of 'Gene hunting with hidden Markov model knockoffs'. (2019) (4)
- Selection Bias Correction and Eect Size Estimation under Dependence (2014) (3)
- Moving Beyond Linearity (2021) (3)
- Quantifying uncertainty in spikes estimated from calcium imaging data. (2021) (3)
- Distributionally Robust Reduced Rank Regression and Principal Component Analysis in High Dimensions (2018) (3)
- Correction: Whole exome sequencing study identifies novel rare and common Alzheimer’s-Associated variants involved in immune response and transcriptional regulation (2019) (2)
- Tail behavior of dependent V-statistics and its applications (2019) (2)
- Abstract 1526: Epithelial mesenchymal transition (EMT) is associated with non-transporter resistance to taxanes in human ovarian cancer cell (2010) (2)
- Hypothesis testing for differentially correlated features. (2016) (2)
- Discussion on Covariate-assisted ranking and screening for large-scale two-sample inference. (2019) (2)
- Inferring Neural Population Spiking Rate from Wide-Field Calcium Imaging (2020) (2)
- Corrigendum: A systematic comparison reveals substantial differences in chromosomal versus episomal encoding of enhancer activity. (2018) (2)
- Statistical based Neural Network in Human Activity Recognition (2016) (2)
- ASSESSMENT OF PRESENT STATE OF KNOWLEDGE FOR UNSAFE TARGET DRIVING BEHAVIORS AND SAFE DRIVING CONFORMANCE COUNTERMEASURES APPROACHES-TASK 2 REPORT (1975) (2)
- Unsupervised Learning (2021) (1)
- Simultaneous detection and estimation of trait associations with genomic phenotypes (2016) (1)
- Transcriptional profiling of long non-coding RNAs and novel transcribed regions across a diverse panel of archived human cancers (2012) (1)
- Cold Related Fatalities Increasing Annually (1981) (1)
- Inferring independent sets of Gaussian variables after thresholding correlations (2022) (1)
- Controlling costs: Feature selection on a budget (2019) (1)
- Predictive value of tumor associated histiocytes in patients with leiomyosarcoma (2008) (0)
- Generalized Data Thinning Using Sufficient Statistics (2023) (0)
- Supplementary material for ‘ Selection and estimation for mixed graphical models ’ (2014) (0)
- Linear Regression (2021) (0)
- Carolina Tornadoes Kill 59: Worst Outbreak in Southeast in 60 years (1984) (0)
- What's in a Name?: A Hurricane by Any Name Can Be a Killer (1981) (0)
- Supplement to the Discussion of “CARS: Covariate assisted ranking and screening for large-scale two-sample inference” by Cai et al (2018) (0)
- Discussion of Breiman's "Two Cultures": From Two Cultures to One (2021) (0)
- Correction (2010) (0)
- Appendix to “Convex Modeling of Interactions with Strong Heredity” (2016) (0)
- Whole exome sequencing study identifies novel rare and common Alzheimer's-Associated variants involved in immune response and transcriptional regulation (vol 25, pg 1859, 2018) (2020) (0)
- Classification (1993) (0)
- Corrigendum to "Machine learning techniques for mitoses classification" [Comput. Med. Imaging Graphics 87 January (2021) 101832] (2021) (0)
- Data-Driven Discovery of Functional Cell Types that Improve Models of Neural Activity (2019) (0)
- Machine Learning and Big Data Analytics Section 6 Emily Mower October 2018 (2018) (0)
- Modeling functional cell types in spike train data (2023) (0)
- Highly Parallel Tissue Grafting for Combinatorial In Vivo Screening (2023) (0)
- 2014 Ziegel Award Announcement (2016) (0)
- Survival Analysis and Censored Data (2021) (0)
- Discussion (2009) (0)
- An Integrated Approach for Prioritizing Causal Variants in Whole Exome and Whole Genome Sequencing (2013) (0)
- Resampling Methods (2021) (0)
- Supplementary Material for Network Reconstruction From High Dimensional Ordinary Differential Equations (2016) (0)
- Submitted to the Annals of Applied Statistics SCALPEL : EXTRACTING NEURONS FROM CALCIUM IMAGING DATA By (2017) (0)
- Multiple Testing (2021) (0)
- Deep Learning (2021) (0)
- Introduction (2021) (0)
- Space Research Leads to Handheld X-Ray Device (1977) (0)
- Data thinning for convolution-closed distributions (2023) (0)
- A Major Hurricane Disaster (1980) (0)
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What Schools Are Affiliated With Daniela Witten?
Daniela Witten is affiliated with the following schools:
