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Robert Tibshirani
Researcher at Stanford University
Publications - 620
Citations - 359457
Robert Tibshirani is an academic researcher from Stanford University. The author has contributed to research in topics: Lasso (statistics) & Gene expression profiling. The author has an hindex of 147, co-authored 593 publications receiving 326580 citations. Previous affiliations of Robert Tibshirani include University of Toronto & University of California.
Papers
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Book ChapterDOI
SAM Thresholding and False Discovery Rates for Detecting Differential Gene Expression in DNA Microarrays
John D. Storey,Robert Tibshirani +1 more
TL;DR: The SAM methodology works in the context of a general approach to detecting differential gene expression in DNA microarrays and some recently developed methodology for estimating false discovery rates and q-values has been included in the software.
Journal ArticleDOI
LMO2 Protein Expression Predicts Survival in Patients With Diffuse Large B-Cell Lymphoma Treated With Anthracycline-Based Chemotherapy With and Without Rituximab
Yasodha Natkunam,Pedro Farinha,Eric D. Hsi,Christine P. Hans,Robert Tibshirani,Laurie H. Sehn,Joseph M. Connors,Dita Gratzinger,Manuel F. Rosado,Shuchun Zhao,Brad Pohlman,Nicholas Wongchaowart,Martin Bast,Abraham Avigdor,Ginette Schiby,Arnon Nagler,Gerald E. Byrne,Ronald Levy,Randy D. Gascoyne,Izidore S. Lossos +19 more
TL;DR: It is concluded that LMO2 protein expression is a prognostic marker in DLBCL patients treated with anthracycline-based regimens alone or in combination with rituximab.
Journal ArticleDOI
Are clusters found in one dataset present in another dataset
Amy V. Kapp,Robert Tibshirani +1 more
TL;DR: The connection between reproducibility and prediction accuracy is taken advantage to develop a validation procedure for clusters found in datasets independent of the one in which they were characterized and the IGP is the best measure of prediction accuracy.
Journal ArticleDOI
Molecular Transducers of Physical Activity Consortium (MoTrPAC): Mapping the Dynamic Responses to Exercise.
James A. Sanford,Christopher D. Nogiec,Malene E. Lindholm,Joshua N. Adkins,David Amar,Surendra Dasari,Jonelle K. Drugan,Facundo M. Fernández,Shlomit Radom-Aizik,Simon Schenk,Michael Snyder,Russell P. Tracy,Patrick M. Vanderboom,Scott Trappe,Martin J. Walsh,Charles R. Evans,Yafeng Li,Lyl Tomlinson,D. Lee Alekel,Iddil Bekirov,Amanda T. Boyce,Josephine Boyington,Jerome L. Fleg,Lyndon Joseph,Maren R. Laughlin,Padma Maruvada,Stephanie A. Morris,Joan McGowan,Concepcion R. Nierras,Vinay Pai,Charlotte A. Peterson,Ed Ramos,Mary Roary,John P. Williams,Ashley Xia,Elaine Cornell,Jessica Rooney,Michael Miller,Walter T. Ambrosius,Scott Rushing,Cynthia L. Stowe,W. Jack Rejeski,Barbara J. Nicklas,Marco Pahor,Ching-ju Lu,Todd A. Trappe,Toby Chambers,Ulrika Raue,Bridget Lester,Bryan C. Bergman,David H. Bessesen,Catherine M. Jankowski,Wendy M. Kohrt,Edward L. Melanson,Kerrie L. Moreau,Irene E. Schauer,Robert S. Schwartz,William E. Kraus,Cris A. Slentz,Kim M. Huffman,Johanna L. Johnson,Leslie H. Willis,L S. Kelly,Joseph A. Houmard,Gabriel S. Dubis,Nick Broskey,Bret H. Goodpaster,Lauren M. Sparks,Paul M. Coen,Dan M. Cooper,Fadia Haddad,Tuomo Rankinen,Eric Ravussin,Neil M. Johannsen,Melissa Harris,John M. Jakicic,Anne B. Newman,Daniel Forman,Erin E. Kershaw,Renee J. Rogers,Bradley C. Nindl,Lindsay C. Page,Maja Stefanovic-Racic,Susan Barr,Blake B. Rasmussen,Tatiana Moro,Doug Paddon-Jones,Elena Volpi,Heidi Spratt,Nicolas Musi,Sara E. Espinoza,Darpan I. Patel,Monica C. Serra,Jonathan Gelfond,Aisling Burns,Marcas M. Bamman,Thomas W. Buford,Gary Cutter,Sue C. Bodine,Karyn A. Esser,Rodger P. Farrar,Laurie J. Goodyear,Michael F. Hirshman,Brent G. Albertson,Wei-Jun Qian,Paul D. Piehowski,Marina A. Gritsenko,Matthew E. Monore,Vladislav A. Petyuk,Jason E. McDermott,Joshua N. Hansen,Chelsea Hutchison,Samuel G. Moore,David A. Gaul,Clary B. Clish,Julian Avila-Pacheco,Courtney Dennis,Manolis Kellis,Steve Carr,Pierre M. Jean-Beltran,Hasmik Keshishian,D. R. Mani,Karl R. Clauser,Karsten Krug,Charlie Mundorff,Cadence Pearce,Anna A. Ivanova,Eric A. Ortlund,Kristal M. Maner-Smith,Karan Uppal,Tiantian Zhang,Stuart C. Sealfon,Elena Zaslavsky,Venugopalan D. Nair,SiDe Li,Nimisha Jain,Yongchao Ge,Yifei Sun,German Nudelman,Frederique Ruf-Zamojski,Gregory R. Smith,Nhanna Pincas,Aliza B. Rubenstein,Mary Anne S. Amper,Nitish Seenarine,Tuuli Lappalainen,Ian R. Lanza,K. Sreekumaran Nair,Katherine Klaus,Stephen B. Montgomery,Kevin S. Smith,Bingqing Zhao,Chia-Jiu Hung,Navid Zebarjadi,Brunilda Balliu,Laure Fresard,Charles F. Burant,Jun Li,Maureen Kachman,Tanu Soni,Alexander B. Raskind,Robert E. Gerszten,Jeremy M. Robbins,Olga Ilkayeva,Michael J. Muehlbauer,Christopher B. Newgard,Euan A. Ashley,Matthew T. Wheeler,David Jimenez-Morales,Archana Raja,Karen P. Dalton,Jimmy Zhen,Young Suk Kim,Jeffrey W. Christle,Shruti Marwaha,Elizabeth T Chin,Steven G. Hershman,Trevor Hastie,Robert Tibshirani,Manuel A. Rivas +179 more
TL;DR: The Molecular Transducers of Physical Activity Consortium (MoTrPAC) will provide a public database that is expected to enhance the understanding of the health benefits of exercise and to provide insight into how physical activity mitigates disease.
Journal ArticleDOI
Hybrid hierarchical clustering with applications to microarray data
TL;DR: A hybrid clustering method that combines the strengths of bottom-up hierarchical clustering with that of top-down clustering, built on the new idea of a mutual cluster: a group of points closer to each other than to any other points.