Daniela Witten

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Robert TibshiraniProfessor of Biomedical Data Sciences, and of Statistics, Stanford UniversityAdresse e-mail validée de stanford.edu
Trevor HastieProfessor of Statistics, Stanford UniversityAdresse e-mail validée de stanford.edu
Gareth JamesDean of Goizueta Business School, EmoryAdresse e-mail validée de emory.edu
Jay ShendureProfessor of Genome Sciences, University of WashingtonAdresse e-mail validée de uw.edu
Greg CooperFaculty Investigator, HudsonAlpha Institute for BiotechnologyAdresse e-mail validée de hudsonalpha.org
Martin KircherBerlin Institute of Health, Charité - Universitätsmedizin BerlinAdresse e-mail validée de uw.edu
Noah SimonDepartment of Biostatistics, University of WashingtonAdresse e-mail validée de uw.edu
Kean Ming TanDepartment of Statistics, University of MichiganAdresse e-mail validée de umich.edu
Brian J. O'RoakOregon Health & Science UniversityAdresse e-mail validée de ohsu.edu
Matt van de RijnProfessor of Pathology, Stanford UniversityAdresse e-mail validée de stanford.edu
Su-In LeeComputer Science & Engineering, University of WashingtonAdresse e-mail validée de cs.washington.edu
Andrew H. BeckCo-Founder and CEO at PathAIAdresse e-mail validée de PathAI.com
Nadav AhituvUCSFAdresse e-mail validée de ucsf.edu
Sean JewellUniversity of WashingtonAdresse e-mail validée de uw.edu
Maryam FazelProfessor of Electrical and Computer Engineering, University of WashingtonAdresse e-mail validée de uw.edu
Shizhe ChenUniversity of California, DavisAdresse e-mail validée de ucdavis.edu
Karthik MohanAffiliate Professor, University of Washington Seattle. Research Scientist, Facebook, RedmondAdresse e-mail validée de uw.edu
Matthew JockersAppleAdresse e-mail validée de wsu.edu
William Stafford NobleProfessor of Genome Sciences, University of WashingtonAdresse e-mail validée de uw.edu
Patrick DanaherPrincipal Biostatistician, NanoString TechnologiesAdresse e-mail validée de nanostring.com

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Daniela Witten

Professor of Statistics & Biostatistics, Dorothy Gilford Endowed Chair, University of Washington

Adresse e-mail validée de u.washington.edu - Page d'accueil

statistics machine learning


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
An introduction to statistical learning G James, D Witten, T Hastie, R Tibshirani springer, 2013	17775	2013
A general framework for estimating the relative pathogenicity of human genetic variants M Kircher, DM Witten, P Jain, BJ O'roak, GM Cooper, J Shendure Nature genetics 46 (3), 310-315, 2014	5331	2014
CADD: predicting the deleteriousness of variants throughout the human genome P Rentzsch, D Witten, GM Cooper, J Shendure, M Kircher Nucleic acids research 47 (D1), D886-D894, 2019	2057	2019
A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis DM Witten, R Tibshirani, T Hastie Biostatistics 10 (3), 515-534, 2009	1582	2009
The joint graphical lasso for inverse covariance estimation across multiple classes P Danaher, P Wang, DM Witten Journal of the Royal Statistical Society. Series B, Statistical methodology …, 2014	862	2014
A framework for feature selection in clustering DM Witten, R Tibshirani Journal of the American Statistical Association 105 (490), 713-726, 2010	712	2010
Sparse discriminant analysis L Clemmensen, T Hastie, D Witten, B Ersbøll Technometrics 53 (4), 406-413, 2011	627	2011
Massively parallel functional dissection of mammalian enhancers in vivo RP Patwardhan, JB Hiatt, DM Witten, MJ Kim, RP Smith, D May, C Lee, ... Nature biotechnology 30 (3), 265-270, 2012	528	2012
Extensions of sparse canonical correlation analysis with applications to genomic data DM Witten, RJ Tibshirani Statistical applications in genetics and molecular biology 8 (1), 2009	515	2009
Penalized classification using Fisher's linear discriminant DM Witten, R Tibshirani Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2011	451	2011
Normalization, testing, and false discovery rate estimation for RNA-sequencing data J Li, DM Witten, IM Johnstone, R Tibshirani Biostatistics 13 (3), 523-538, 2012	405	2012
Other considerations in the regression model G James, D Witten, T Hastie, R Tibshirani An Introduction to Statistical Learning: with Applications in R 103, 82-102, 2013	400	2013
New insights and faster computations for the graphical lasso DM Witten, JH Friedman, N Simon Journal of Computational and Graphical Statistics 20 (4), 892-900, 2011	376	2011
Hierarchical maintenance of MLL myeloid leukemia stem cells employs a transcriptional program shared with embryonic rather than adult stem cells TCP Somervaille, CJ Matheny, GJ Spencer, M Iwasaki, JL Rinn, ... Cell stem cell 4 (2), 129-140, 2009	374	2009
The Stanford Integrated Psychosocial Assessment for Transplantation (SIPAT): a new tool for the psychosocial evaluation of pre-transplant candidates JR Maldonado, HC Dubois, EE David, Y Sher, S Lolak, J Dyal, D Witten Psychosomatics 53 (2), 123-132, 2012	277	2012
Covariance‐regularized regression and classification for high dimensional problems DM Witten, R Tibshirani Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2009	277	2009
MicroRNA expression profiles associated with mutational status and survival in malignant melanoma S Caramuta, S Egyházi, M Rodolfo, D Witten, J Hansson, C Larsson, ... Journal of Investigative Dermatology 130 (8), 2062-2070, 2010	272	2010
Transcriptional profiling of long non-coding RNAs and novel transcribed regions across a diverse panel of archived human cancers AL Brunner, AH Beck, B Edris, RT Sweeney, SX Zhu, R Li, K Montgomery, ... Genome biology 13, 1-13, 2012	255	2012
A systematic comparison reveals substantial differences in chromosomal versus episomal encoding of enhancer activity F Inoue, M Kircher, B Martin, GM Cooper, DM Witten, MT McManus, ... Genome research 27 (1), 38-52, 2017	247	2017
A comparative study of machine learning methods for authorship attribution ML Jockers, DM Witten Literary and Linguistic Computing 25 (2), 215-223, 2010	236	2010

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