C
Casey S. Greene
Researcher at University of Colorado Denver
Publications - 263
Citations - 13168
Casey S. Greene is an academic researcher from University of Colorado Denver. The author has contributed to research in topics: Computer science & Genome-wide association study. The author has an hindex of 43, co-authored 249 publications receiving 9077 citations. Previous affiliations of Casey S. Greene include University of Michigan & University of Colorado Boulder.
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Journal ArticleDOI
Oncogenic Signaling Pathways in The Cancer Genome Atlas
Francisco Sanchez-Vega,Marco Mina,Joshua Armenia,Walid K. Chatila,Augustin Luna,Konnor La,Sofia Dimitriadoy,David L. Liu,Havish S. Kantheti,Sadegh Saghafinia,Debyani Chakravarty,Foysal Daian,Qingsong Gao,Matthew H. Bailey,Wen-Wei Liang,Steven M. Foltz,Ilya Shmulevich,Li Ding,Zachary J. Heins,Angelica Ochoa,Benjamin Gross,Jianjiong Gao,Hongxin Zhang,Ritika Kundra,Cyriac Kandoth,Istemi Bahceci,Leonard Dervishi,Ugur Dogrusoz,Wanding Zhou,Hui Shen,Peter W. Laird,Gregory P. Way,Casey S. Greene,Han Liang,Yonghong Xiao,Chen Wang,Antonio Iavarone,Alice H. Berger,Trever G. Bivona,Alexander J. Lazar,Gary D. Hammer,Thomas J. Giordano,Lawrence N. Kwong,Grant A. McArthur,Chenfei Huang,Aaron D. Tward,Mitchell J. Frederick,Frank McCormick,Matthew Meyerson,Eliezer M. Van Allen,Andrew D. Cherniack,Giovanni Ciriello,Chris Sander,Nikolaus Schultz +53 more
TL;DR: This work charted the detailed landscape of pathway alterations in 33 cancer types, stratified into 64 subtypes, and identified patterns of co-occurrence and mutual exclusivity.
Journal ArticleDOI
Opportunities and obstacles for deep learning in biology and medicine.
Travers Ching,Daniel Himmelstein,Brett K. Beaulieu-Jones,Alexandr A. Kalinin,Brian T. Do,Gregory P. Way,Enrico Ferrero,Paul-Michael Agapow,Michael Zietz,Michael M. Hoffman,Michael M. Hoffman,Wei Xie,Gail L. Rosen,Benjamin J. Lengerich,Johnny Israeli,Jack Lanchantin,Stephen Woloszynek,Anne E. Carpenter,Avanti Shrikumar,Jinbo Xu,Evan M. Cofer,Evan M. Cofer,Christopher A. Lavender,Srinivas C. Turaga,Amr Alexandari,Zhiyong Lu,David J. Harris,Dave DeCaprio,Yanjun Qi,Anshul Kundaje,Yifan Peng,Laura K. Wiley,Marwin H. S. Segler,Simina M. Boca,S. Joshua Swamidass,Austin Huang,Anthony Gitter,Anthony Gitter,Casey S. Greene +38 more
TL;DR: It is found that deep learning has yet to revolutionize biomedicine or definitively resolve any of the most pressing challenges in the field, but promising advances have been made on the prior state of the art.
Journal ArticleDOI
Understanding multicellular function and disease with human tissue-specific networks
Casey S. Greene,Arjun Krishnan,Aaron K. Wong,Emanuela Ricciotti,Rene A. Zelaya,Daniel Himmelstein,Ran Zhang,Boris M. Hartmann,Elena Zaslavsky,Stuart C. Sealfon,Daniel I. Chasman,Garret A. FitzGerald,Kara Dolinski,Tilo Grosser,Olga G. Troyanskaya +14 more
TL;DR: NetWAS is introduced, which combines genes with nominally significant genome-wide association study (GWAS) P values and tissue-specific networks to identify disease-gene associations more accurately than GWAS alone.
Journal ArticleDOI
Genomic and Molecular Landscape of DNA Damage Repair Deficiency across The Cancer Genome Atlas
Theo A. Knijnenburg,Linghua Wang,Michael T. Zimmermann,Nyasha Chambwe,Galen F. Gao,Andrew D. Cherniack,Huihui Fan,Hui Shen,Gregory P. Way,Casey S. Greene,Yuexin Liu,Rehan Akbani,Bin Feng,Lawrence A. Donehower,Chase Miller,Yang Shen,Mostafa Karimi,Haoran Chen,Pora Kim,Peilin Jia,Eve Shinbrot,Shaojun Zhang,Jianfang Liu,Hai Hu,Matthew H. Bailey,Christina Yau,Denise M. Wolf,Zhongming Zhao,John N. Weinstein,Lei Li,Li Ding,Gordon B. Mills,Peter W. Laird,David A. Wheeler,Ilya Shmulevich,Raymond J. Monnat,Yonghong Xiao,Chen Wang +37 more
TL;DR: These frequent DDR gene alterations in many human cancers have functional consequences that may determine cancer progression and guide therapy and a new machine-learning-based classifier developed from gene expression data allowed to identify alterations that phenocopy deleterious TP53 mutations.
Journal ArticleDOI
An expanded evaluation of protein function prediction methods shows an improvement in accuracy
Yuxiang Jiang,Tal Ronnen Oron,Wyatt T. Clark,Asma R. Bankapur,Daniel D'Andrea,Rosalba Lepore,Christopher S. Funk,Indika Kahanda,Karin Verspoor,Asa Ben-Hur,Da Chen Emily Koo,Duncan Penfold-Brown,Dennis Shasha,Noah Youngs,Richard Bonneau,Alexandra Lin,Sayed Mohammad Ebrahim Sahraeian,Pier Luigi Martelli,Giuseppe Profiti,Rita Casadio,Renzhi Cao,Zhaolong Zhong,Jianlin Cheng,Adrian M. Altenhoff,Adrian M. Altenhoff,Nives Škunca,Nives Škunca,Christophe Dessimoz,Christophe Dessimoz,Christophe Dessimoz,Tunca Doğan,Kai Hakala,Suwisa Kaewphan,Farrokh Mehryary,Tapio Salakoski,Filip Ginter,Hai Fang,Ben Smithers,Matt E. Oates,Julian Gough,Petri Törönen,Patrik Koskinen,Liisa Holm,Ching-Tai Chen,Wen-Lian Hsu,Kevin Bryson,Domenico Cozzetto,Federico Minneci,David T. Jones,Samuel Chapman,Dukka Bkc,Ishita K. Khan,Daisuke Kihara,Dan Ofer,Nadav Rappoport,Amos Stern,Elena Cibrian-Uhalte,Paul Denny,Rebecca E. Foulger,Reija Hieta,Duncan Legge,Ruth C. Lovering,Michele Magrane,Anna N. Melidoni,Prudence Mutowo-Meullenet,Klemens Pichler,Aleksandra Shypitsyna,Biao Li,Pooya Zakeri,Pooya Zakeri,Sarah ElShal,Sarah ElShal,Léon-Charles Tranchevent,Léon-Charles Tranchevent,Sayoni Das,Natalie L. Dawson,David A. Lee,Jonathan G. Lees,Ian Sillitoe,Prajwal Bhat,Tamás Nepusz,Alfonso E. Romero,Rajkumar Sasidharan,Haixuan Yang,Alberto Paccanaro,Jesse Gillis,Adriana E. Sedeno-Cortes,Paul Pavlidis,Shou Feng,Juan Miguel Cejuela,Tatyana Goldberg,Tobias Hamp,Lothar Richter,Asaf Salamov,Toni Gabaldón,Toni Gabaldón,Marina Marcet-Houben,Fran Supek,Fran Supek,Qingtian Gong,Wei Ning,Yuanpeng Zhou,Weidong Tian,Marco Falda,Paolo Fontana,Enrico Lavezzo,Stefano Toppo,Carlo Ferrari,Manuel Giollo,Damiano Piovesan,Silvio C. E. Tosatto,Angela del Pozo,José M. Fernández,Paolo Maietta,Alfonso Valencia,Michael L. Tress,Alfredo Benso,Stefano Di Carlo,Gianfranco Politano,Alessandro Savino,Hafeez Ur Rehman,Matteo Re,Marco Mesiti,Giorgio Valentini,Joachim W. Bargsten,Aalt D. J. van Dijk,Branislava Gemovic,Sanja Glisic,Vladmir Perovic,Veljko Veljkovic,Nevena Veljkovic,Danillo C Almeida-E-Silva,Ricardo Z. N. Vêncio,Malvika Sharan,Jörg Vogel,Lakesh Kansakar,Shanshan Zhang,Slobodan Vucetic,Zheng Wang,Michael J.E. Sternberg,Mark N. Wass,Rachael P. Huntley,Maria Jesus Martin,Claire O'Donovan,Peter N. Robinson,Yves Moreau,Anna Tramontano,Patricia C. Babbitt,Steven E. Brenner,Michal Linial,Christine A. Orengo,Burkhard Rost,Casey S. Greene,Sean D. Mooney,Iddo Friedberg,Iddo Friedberg,Predrag Radivojac +156 more
TL;DR: The second critical assessment of functional annotation (CAFA), a timed challenge to assess computational methods that automatically assign protein function, was conducted by as mentioned in this paper. But the results of the CAFA2 assessment are limited.