| An introduction to statistical learning G James, D Witten, T Hastie, R Tibshirani springer, 2013 | 24524* | 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 | 6252 | 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 | 2917 | 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 | 1770 | 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 | 999 | 2014 |
| A framework for feature selection in clustering DM Witten, R Tibshirani Journal of the American Statistical Association 105 (490), 713-726, 2010 | 802 | 2010 |
| Sparse discriminant analysis L Clemmensen, T Hastie, D Witten, B Ersbøll Technometrics 53 (4), 406-413, 2011 | 690 | 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 | 608 | 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 | 600 | 2009 |
| Penalized classification using Fisher’s linear discriminant DM Witten, R Tibshirani Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2011 | 491 | 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 | 445 | 2012 |
| 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 | 416 | 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 | 396 | 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 | 347 | 2012 |
| A large-scale standardized physiological survey reveals functional organization of the mouse visual cortex SEJ de Vries, JA Lecoq, MA Buice, PA Groblewski, GK Ocker, M Oliver, ... Nature neuroscience 23 (1), 138-151, 2020 | 316* | 2020 |
| 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 | 310 | 2017 |
| Covariance-regularized regression and classification for high dimensional problems DM Witten, R Tibshirani Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2009 | 299 | 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 | 287 | 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 | 268 | 2012 |
| A comparative study of machine learning methods for authorship attribution ML Jockers, DM Witten Literary and Linguistic Computing 25 (2), 215-223, 2010 | 267 | 2010 |
Robert TibshiraniProfessor of Biomedical Data Sciences, and of Statistics, Stanford University在 stanford.edu 的电子邮件经过验证
