Year |
Citation |
Score |
2020 |
Martin BD, Witten D, Willis AD. MODELING MICROBIAL ABUNDANCES AND DYSBIOSIS WITH BETA-BINOMIAL REGRESSION. The Annals of Applied Statistics. 14: 94-115. PMID 32983313 DOI: 10.1214/19-Aoas1283 |
0.36 |
|
2019 |
Wu J, Witten D. Flexible and Interpretable Models for Survival Data. Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America. 28: 954-966. PMID 32704224 DOI: 10.1080/10618600.2019.1592758 |
0.38 |
|
2018 |
Jewell S, Witten D. EXACT SPIKE TRAIN INFERENCE VIA ℓ OPTIMIZATION. The Annals of Applied Statistics. 12: 2457-2482. PMID 30627301 DOI: 10.1214/18-Aoas1162 |
0.312 |
|
2018 |
Petersen A, Simon N, Witten D. SCALPEL: EXTRACTING NEURONS FROM CALCIUM IMAGING DATA. The Annals of Applied Statistics. 12: 2430-2456. PMID 30510612 DOI: 10.1214/18-Aoas1159 |
0.592 |
|
2018 |
Petersen A, Witten D. Data-adaptive additive modeling. Statistics in Medicine. PMID 30010200 DOI: 10.1002/Sim.7859 |
0.366 |
|
2016 |
Haris A, Witten D, Simon N. Convex Modeling of Interactions with Strong Heredity. Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America. 25: 981-1004. PMID 28316461 DOI: 10.1080/10618600.2015.1067217 |
0.64 |
|
2016 |
Petersen A, Witten D, Simon N. Fused Lasso Additive Model. Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America. 25: 1005-1025. PMID 28239246 DOI: 10.1080/10618600.2015.1073155 |
0.656 |
|
2016 |
Petersen A, Simon N, Witten D. Convex Regression with Interpretable Sharp Partitions. Journal of Machine Learning Research : Jmlr. 17. PMID 27635120 |
0.628 |
|
2016 |
Morrison J, Simon N, Witten D. Simultaneous detection and estimation of trait associations with genomic phenotypes. Biostatistics (Oxford, England). PMID 27496912 DOI: 10.1093/Biostatistics/Kxw033 |
0.605 |
|
2016 |
Sheng E, Witten D, Zhou XH. Hypothesis testing for differentially correlated features. Biostatistics (Oxford, England). PMID 27044327 DOI: 10.1093/Biostatistics/Kxw013 |
0.312 |
|
2015 |
Tan KM, Witten D, Shojaie A. The cluster graphical lasso for improved estimation of Gaussian graphical models. Computational Statistics & Data Analysis. 85: 23-36. PMID 25642008 DOI: 10.1016/J.Csda.2014.11.015 |
0.344 |
|
2014 |
Voorman A, Shojaie A, Witten D. Graph Estimation with Joint Additive Models. Biometrika. 101: 85-101. PMID 25013234 DOI: 10.1093/Biomet/Ast053 |
0.703 |
|
2014 |
Zare H, Wang J, Hu A, Weber K, Smith J, Nickerson D, Song C, Witten D, Blau CA, Noble WS. Inferring clonal composition from multiple sections of a breast cancer. Plos Computational Biology. 10: e1003703. PMID 25010360 DOI: 10.1200/Jco.2014.32.15_Suppl.11077 |
0.305 |
|
2014 |
Danaher P, Wang P, Witten DM. The joint graphical lasso for inverse covariance estimation across multiple classes. Journal of the Royal Statistical Society. Series B, Statistical Methodology. 76: 373-397. PMID 24817823 DOI: 10.1111/rssb.12033 |
0.333 |
|
2013 |
Witten DM, Tibshirani R. Scientific research in the age of omics: the good, the bad, and the sloppy. Journal of the American Medical Informatics Association : Jamia. 20: 125-7. PMID 23037799 DOI: 10.1136/Amiajnl-2012-000972 |
0.355 |
|
2012 |
Brunner AL, Beck AH, Edris B, Sweeney RT, Zhu SX, Li R, Montgomery K, Varma S, Gilks T, Guo X, Foley JW, Witten DM, Giacomini CP, Flynn RA, Pollack JR, et al. Transcriptional profiling of long non-coding RNAs and novel transcribed regions across a diverse panel of archived human cancers. Genome Biology. 13: R75. PMID 22929540 DOI: 10.1186/Gb-2012-13-8-R75 |
0.379 |
|
2012 |
Li J, Witten DM, Johnstone IM, Tibshirani R. Normalization, testing, and false discovery rate estimation for RNA-sequencing data. Biostatistics (Oxford, England). 13: 523-38. PMID 22003245 DOI: 10.1093/Biostatistics/Kxr031 |
0.496 |
|
2011 |
Ganjoo KN, Witten D, Patel M, Espinosa I, La T, Tibshirani R, van de Rijn M, Jacobs C, West RB. The prognostic value of tumor-associated macrophages in leiomyosarcoma: a single institution study. American Journal of Clinical Oncology. 34: 82-6. PMID 23781555 DOI: 10.1097/Coc.0B013E3181D26D5E |
0.472 |
|
2011 |
Witten DM, Tibshirani R. Penalized classification using Fisher's linear discriminant. Journal of the Royal Statistical Society. Series B, Statistical Methodology. 73: 753-772. PMID 22323898 DOI: 10.1111/J.1467-9868.2011.00783.X |
0.508 |
|
2011 |
Clemmensen L, Hastie T, Witten D, Ersboll B. Sparse discriminant analysis Technometrics. 53: 406-413. DOI: 10.1198/Tech.2011.08118 |
0.373 |
|
2011 |
Witten DM, Friedman JH, Simon N. New insights and faster computations for the graphical lasso Journal of Computational and Graphical Statistics. 20: 892-900. DOI: 10.1198/Jcgs.2011.11051A |
0.614 |
|
2011 |
Witten DM, Tibshirani R. Supervised multidimensional scaling for visualization, classification, and bipartite ranking Computational Statistics and Data Analysis. 55: 789-801. DOI: 10.1016/J.Csda.2010.07.001 |
0.453 |
|
2010 |
Witten DM, Tibshirani R. A framework for feature selection in clustering. Journal of the American Statistical Association. 105: 713-726. PMID 20811510 DOI: 10.1198/Jasa.2010.Tm09415 |
0.43 |
|
2010 |
Witten D, Tibshirani R, Gu SG, Fire A, Lui WO. Ultra-high throughput sequencing-based small RNA discovery and discrete statistical biomarker analysis in a collection of cervical tumours and matched controls Bmc Biology. 8. PMID 20459774 DOI: 10.1186/1741-7007-8-58 |
0.457 |
|
2010 |
Beck AH, Weng Z, Witten DM, Zhu S, Foley JW, Lacroute P, Smith CL, Tibshirani R, van de Rijn M, Sidow A, West RB. 3'-end sequencing for expression quantification (3SEQ) from archival tumor samples. Plos One. 5: e8768. PMID 20098735 DOI: 10.1371/Journal.Pone.0008768 |
0.412 |
|
2010 |
Beck AH, Lee CH, Witten DM, Gleason BC, Edris B, Espinosa I, Zhu S, Li R, Montgomery KD, Marinelli RJ, Tibshirani R, Hastie T, Jablons DM, Rubin BP, Fletcher CD, et al. Discovery of molecular subtypes in leiomyosarcoma through integrative molecular profiling. Oncogene. 29: 845-54. PMID 19901961 DOI: 10.1038/Onc.2009.381 |
0.422 |
|
2010 |
Witten DM, Tibshirani R. Survival analysis with high-dimensional covariates. Statistical Methods in Medical Research. 19: 29-51. PMID 19654171 DOI: 10.1177/0962280209105024 |
0.457 |
|
2009 |
Witten DM, Tibshirani R. Covariance-regularized regression and classification for high-dimensional problems. Journal of the Royal Statistical Society. Series B, Statistical Methodology. 71: 615-636. PMID 20084176 DOI: 10.1111/J.1467-9868.2009.00699.X |
0.535 |
|
2009 |
Witten DM, Tibshirani RJ. Extensions of sparse canonical correlation analysis with applications to genomic data. Statistical Applications in Genetics and Molecular Biology. 8: Article28. PMID 19572827 DOI: 10.2202/1544-6115.1470 |
0.51 |
|
2009 |
Witten DM, Tibshirani R, Hastie T. A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis. Biostatistics (Oxford, England). 10: 515-34. PMID 19377034 DOI: 10.1093/Biostatistics/Kxp008 |
0.404 |
|
2009 |
Witten DM, Hastie T, Tibshirani R. Discussion Journal of the American Statistical Association. 104: 698-699. DOI: 10.1198/jasa.2009.0143 |
0.318 |
|
2008 |
Witten DM, Tibshirani R. TESTING SIGNIFICANCE OF FEATURES BY LASSOED PRINCIPAL COMPONENTS. The Annals of Applied Statistics. 2: 986-1012. PMID 19756232 DOI: 10.1214/08-AOAS182SUPP |
0.484 |
|
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