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Trevor Hastie
Researcher at Stanford University
Publications - 428
Citations - 230646
Trevor Hastie is an academic researcher from Stanford University. The author has contributed to research in topics: Lasso (statistics) & Feature selection. The author has an hindex of 124, co-authored 412 publications receiving 202592 citations. Previous affiliations of Trevor Hastie include University of Waterloo & University of Toronto.
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Shark detection and classification with machine learning
TL;DR: In this article , the authors used transfer learning and convolutional neural networks (CNNs) to classify sharks from videos and images using a database of 53,345 images covering 219 species of sharks.
Journal ArticleDOI
Construction of longitudinal prediction targets using semisupervised learning.
Booil Jo,Robert L. Findling,Trevor Hastie,Eric A. Youngstrom,Chen Pin Wang,L. Eugene Arnold,Mary A. Fristad,Thomas W. Frazier,Boris Birmaher,Mary Kay Gill,Sarah M. Horwitz +10 more
TL;DR: This study explores the joint use of empirical model fitting, clinical insights, and cross-validation based on how well formulated targets are predicted by clinically relevant baseline characteristics (antecedent validators) to triangulate valid prediction targets.
Posted Content
Longitudinal data analysis using matrix completion.
Lukasz Kidzinski,Trevor Hastie +1 more
TL;DR: An alternative elementary framework for analyzing longitudinal data is proposed, relying on matrix completion, that covers multivariate longitudinal data, regression and can be easily extended to other settings and enables discovering that subtypes of Cerebral Palsy exhibit different progression trends.
Posted ContentDOI
Significant Sparse Polygenic Risk Scores across 428 traits in UK Biobank
Yosuke Tanigawa,Yosuke Tanigawa,Junyang Qian,Guhan Venkataraman,Johanne Marie Justesen,Ruilin Li,Robert Tibshirani,Trevor Hastie,Manuel A. Rivas +8 more
TL;DR: In this article, a systematic assessment of polygenic risk score (PRS) prediction across more than 1,600 traits using genetic and phenotype data in the UK Biobank is presented.
Posted ContentDOI
Temporal dynamics of the multi-omic response to endurance exercise training across tissues
David Amar,Nicole R. Gay,Pierre M. Jean Beltran,Joshua N. Adkins,Jose Juan Almagro Armenteros,Euan A. Ashley,Julian Avila-Pacheco,Dam Bae,Nasim Bararpour,Charles F. Burant,C. Clish,Gary Cutter,Surendra Dasari,Courtney Dennis,Charles R. Evans,Facundo M. Fernández,David A. Gaul,Yongchao Ge,Robert E. Gerszten,Laurie J. Goodyear,Zhenxin Hou,Olga Ilkayeva,Anna A. Ivanova,David Jimenez-Morales,Maureen Kachman,Hasmik Keshishian,William E. Kraus,Ian R. Lanza,Jun Li,Malene E. Lindholm,Ana C. Lira,Gina M. Many,Shruti Marwaha,Michael I. Miller,Michael J. Muehlbauer,K. Sreekumaran Nair,Venugopalan D. Nair,Archana Natarajan Raja,Christopher B. Newgard,Eric A. Ortlund,Paul D. Piehowski,David M. Presby,Wei-Jun Qian,Jessica L. Rooney,James A. Sanford,Evan Savage,Stuart C. Sealfon,Gregory A. Smith,Kevin S. Smith,A.K. Steep,Cynthia L. Stowe,Yifei Sun,Russell P. Tracy,Nikolai G Vetr,Martin J. Walsh,Si Wu,Tiantian Zhang,Bingqing Zhao,Jimmy Zhen,Brent G. Albertson,Mary Anne S. Amper,Ali Tugrul Balci,Marcas M. Bamman,Elisabeth R. Barton,Bryan C. Bergman,Daniel H. Bessesen,Frank W. Booth,B. Bouverat,Thomas W. Buford,Tiziana Caputo,Toby Chambers,Clarisa Chavez,Maria Chikina,Roxanne Chiu,Michael Z. Cicha,Paul Cohen,Dan M. Cooper,Elaine Cornell,Karen P. Dalton,Luis Oliveria De Sousa,Roger Farrar,Kishore M. Gadde,Nicole Gagne,Bret H. Goodpaster,Marina A. Gritsenko,Kristen Guevara,Fadia Haddad,Joshua R. Hansen,Melissa Harris,Trevor Hastie,Krista M. Hennig,Steven G. Hershman,Andrea L. Hevener,Michael F. Hirshman,Fang-Chi Hsu,Kim M. Huffman,Chia-Jiu Hung,Chelsea Hutchinson-Bunch,Bailey E. Jackson,Catherine A. Jankowski,Christopher A. Jin,Neil M. Johannsen,Benjamin G. Ke,Wendy M. Kohrt,Kyle Kramer,Christiaan Leeuwenburgh,Sarah J. Lessard,Bridget Lester,Xueyun Liu,Ching-ju Lu,Nathan S. Makarewicz,Kristal M. Maner-Smith,D. R. Mani,Nada Marjanovic,Andrea G. Marshall,Sandy May,Edward L. Melanson,Matthew E. Monroe,Ronald J. Moore,Samuel G. Moore,Kerrie L. Moreau,Charles C Mundorff,Nicolas Musi,Daniel Nachun,Michael Nestor,Robert L. Newton,Barbara J. Nicklas,Pasquale Nigro,German Nudelman,Marco Pahor,Cadence Pearce,Vladislav A. Petyuk,Hanna Pincas,Scott K. Powers,Shlomit Radom-Aizik,Krithika Ramachandran,M. Ramaker,Irene Ramos,Tuomo Rankinen,Alexander (Sasha) Raskind,Blake B. Rasmussen,Eric Ravussin,R. Scott Rector,W. Jack Rejeski,Collyn Richards,Stas Rirak,Jeremy M. Robbins,Aliza B. Rubenstein,Frederique Ruf-Zamojski,Scott Rushing,Tyler J. Sagendorf,Mihir Samdarshi,Irene E. Schauer,R. Schwartz,Nitish Seenarine,Tanu Soni,Lauren M. Sparks,Christopher Teng,Anna E. Thalacker-Mercer,John P. Thyfault,Robert Tibshirani,Scott Trappe,Todd A. Trappe,Karan Uppal,Sindhu Vangeti,Mital Vasoya,Elena Volpi,A. Vornholt,Michael P. Walkup,John D. Williams,Ashley Y. Xia,Zhen Yan,Xuechen Yu,Chongzhi Zang,Elena Zaslavsky,Navid Zebarjadi,Sue C. Bodine,Steven A. Carr,Karyn A. Esser,Stephen B. Montgomery,Simon Schenk,Michael Snyder,Matthew T. Wheeler +182 more
TL;DR: Interpretation of systemic and tissue-specific molecular adaptations produced hypotheses to help describe the health benefits induced by exercise, including candidate mechanisms that link training adaptation to non-alcoholic fatty liver disease, inflammatory bowel disease, cardiovascular health, and tissue injury and recovery.