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Daniel L. Rubin
Researcher at Stanford University
Publications - 504
Citations - 23450
Daniel L. Rubin is an academic researcher from Stanford University. The author has contributed to research in topics: Ontology (information science) & Computer science. The author has an hindex of 65, co-authored 459 publications receiving 18256 citations. Previous affiliations of Daniel L. Rubin include Lucile Packard Children's Hospital & Good Samaritan Hospital.
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Journal ArticleDOI
Comprehensivemolecular characterization of clear cell renal cell carcinoma
Chad J. Creighton,Margaret Morgan,Preethi H. Gunaratne,Preethi H. Gunaratne,David A. Wheeler,Richard A. Gibbs,Gordon Robertson,Andy Chu,Rameen Beroukhim,Kristian Cibulskis,Sabina Signoretti,Fabio Vandin,Hsin-Ta Wu,Benjamin J. Raphael,Roel G.W. Verhaak,Pheroze Tamboli,Wandaliz Torres-Garcia,Rehan Akbani,John N. Weinstein,Victor E. Reuter,James J. Hsieh,A. Rose Brannon,A. Ari Hakimi,Anders Jacobsen,Giovanni Ciriello,Boris Reva,Christopher J. Ricketts,W. Marston Linehan,Joshua M. Stuart,W. Kimryn Rathmell,Shen Hui,Peter W. Laird,Donna M. Muzny,Caleb F. Davis,Xi Liu,Kyle Chang,Nipun Kakkar,Lisa R. Trevino,Susan M. Benton,Jeffrey G. Reid,Donna Morton,Harsha Doddapaneni,Han Yi,Lora Lewis,Dinh Huyen,Christie Kovar,Yiming Zhu,Jireh Santibanez,Wang Min,Walker Hale,Divya Kalra,Gad Getz,Michael S. Lawrence,Carrie Sougnez,Scott L. Carter,Andrey Sivachenko,Lichtenstein Lee,Chip Stewart,Doug Voet,Sheila Fisher,Stacey Gabriel,Eric S. Lander,Steve Schumacher,Barbara Tabak,Gordon Saksena,Robert C. Onofrio,Andrew D. Cherniack,Jeff Gentry,Kristin G. Ardlie,Matthew Meyerson,Hye Jung E. Chun,Andrew J. Mungall,Payal Sipahimalani,Dominik Stoll,Adrian Ally,Miruna Balasundaram,Yaron S.N. Butterfield,Rebecca Carlsen,Candace Carter,Eric Chuah,Robin J.N. Coope,Noreen Dhalla,Sharon M. Gorski,Ranabir Guin,Carrie Hirst,Martin Hirst,Robert A. Holt,Chandra Lebovitz,Darlene Lee,Haiyan I. Li,Michael Mayo,Richard A. Moore,Erin Pleasance,Patrick Plettner,Jacqueline E. Schein,Arash Shafiei,Jared R. Slobodan,Angela Tam,Nina Thiessen,Richard Varhol,Natasja Wye,Yongjun Zhao,Inanc Birol,Steven J.M. Jones,Marco A. Marra,J. Todd Auman,Donghui Tan,Corbin D. Jones,Katherine A. Hoadley,Piotr A. Mieczkowski,Lisle E. Mose,Stuart R. Jefferys,Michael D. Topal,Christina Liquori,Yidi J. Turman,Shi Yan,Scot Waring,Elizabeth Buda,Jesse Walsh,Junyuan Wu,Tom Bodenheimer,Alan P. Hoyle,Janae V. Simons,Mathew G. Soloway,Saianand Balu,Joel S. Parker,D. Neil Hayes,Charles M. Perou,Raju Kucherlapati,Peter J. Park,Timothy J. Triche,Daniel J. Weisenberger,Phillip H. Lai,Moiz S. Bootwalla,Dennis T. Maglinte,Swapna Mahurkar,Benjamin P. Berman,David Van Den Berg,Leslie Cope,Stephen B. Baylin,Michael S. Noble,Daniel DiCara,Hailei Zhang,Juok Cho,David I. Heiman,Nils Gehlenborg,William Mallard,Lin Pei,Scott Frazer,Petar Stojanov,Yingchun Liu,Lihua Zhou,Jaegil Kim,Lynda Chin,Lynda Chin,Christopher C. Benz,Christina Yau,Sheila Reynolds,Ilya Shmulevich,Rahul Vegesna,Hoon Kim,Zhang Wei,David Cogdell,Eric Jonasch,Zhiyong Ding,Yiling Lu,Nianxiang Zhang,Anna K. Unruh,Tod D. Casasent,Chris Wakefield,Dimitra Tsavachidou,Gordon B. Mills,Jianjiong Gao,Ethan Cerami,Benjamin Gross,B. Arman Aksoy,Rileen Sinha,Nils Weinhold,S. Onur Sumer,Barry S. Taylor,Ronglai Shen,Irina Ostrovnaya,Michael F. Berger,Marc Ladanyi,Chris Sander,Suzanne S. Fei,Andrew J. Stout,Paul T. Spellman,Daniel L. Rubin,Tiffany Ting Liu,Ng Sam,Evan O. Paull,Daniel E. Carlin,Theodore C. Goldstein,Peter Waltman,Kyle Ellrott,Zhu Jing,David Haussler,Weimin Xiao,Candace Shelton,Johanna Gardner,Robert Penny,Mark E. Sherman,David Mallery,Scott Morris,Joseph Paulauskis,Ken Burnett,Troy Shelton,William G. Kaelin,William G. Kaelin,Toni K. Choueiri,Michael B. Atkins,Erin Curley,Satish K. Tickoo,Leigh B. Thorne,Lori Boice,Huang Mei,Jennifer C. Fisher,Cathy D. Vocke,James Peterson,Robert Worrell,Maria J. Merino,Laura S. Schmidt,Laura S. Schmidt,Bogdan Czerniak,Kenneth Aldape,Christopher G. Wood,Jeff Boyd,Jo Ellen Weaver,Mary Iacocca,Nicholas J. Petrelli,Gary Witkin,Jennifer Brown,Christine Czerwinski,Lori Huelsenbeck-Dill,Brenda Rabeno,Jerome Myers,Carl Morrison,Julie Bergsten,John Eckman,Jodi Harr,Christine I. Smith,Kelinda Tucker,Leigh Anne Zach,Wiam Bshara,Carmelo Gaudioso,Rajiv Dhir,Jodi K. Maranchie,Joel B. Nelson,Anil V. Parwani,Cureline Olga Potapova,Konstantin V. Fedosenko,John C. Cheville,R. Houston Thompson,Juan M. Mosquera,Mark A. Rubin,Michael L. Blute,Todd Pihl,Mark A. Jensen,Robert Sfeir,Ari B. Kahn,Anna Chu,Prachi Kothiyal,Eric E. Snyder,Joan Pontius,Brenda Ayala,Mark Backus,Jessica Walton,Julien Baboud,Dominique L. Berton,Matthew C. Nicholls,Deepak Srinivasan,Rohini Raman,Stanley Girshik,Peter A. Kigonya,Shelley Alonso,Rashmi N. Sanbhadti,Sean P. Barletta,David Pot,Margi Sheth,John A. Demchok,Tanja Davidsen,Zhining Wang,Liming Yang,Roy Tarnuzzer,Jiashan Zhang,Greg Eley,Martin L. Ferguson,Kenna R. Mills Shaw,Mark S. Guyer,Bradley A. Ozenberger,Heidi J. Sofia +291 more
TL;DR: Remodelling cellular metabolism constitutes a recurrent pattern in ccRCC that correlates with tumour stage and severity and offers new views on the opportunities for disease treatment.
Journal ArticleDOI
BioPortal: ontologies and integrated data resources at the click of a mouse
Natalya F. Noy,Nigam H. Shah,Patricia L. Whetzel,Benjamin Dai,Michael Dorf,Nicholas Griffith,Clement Jonquet,Daniel L. Rubin,Margaret-Anne Storey,Christopher G. Chute,Mark A. Musen +10 more
TL;DR: BioPortal not only provides investigators, clinicians, and developers ‘one-stop shopping’ to programmatically access biomedical ontologies, but also provides support to integrate data from a variety of biomedical resources.
Journal ArticleDOI
Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions
TL;DR: An overview of current deep learning-based segmentation approaches for quantitative brain MRI is provided and a critical assessment of the current state and likely future developments and trends is provided.
Journal ArticleDOI
Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image features.
Kun-Hsing Yu,Ce Zhang,Gerald J. Berry,Russ B. Altman,Christopher Ré,Daniel L. Rubin,Michael Snyder +6 more
TL;DR: It is suggested that automatically derived image features can predict the prognosis of lung cancer patients and thereby contribute to precision oncology.
Journal ArticleDOI
Preparing Medical Imaging Data for Machine Learning.
Martin J. Willemink,Wojciech A. Koszek,Cailin Hardell,Jie Wu,Dominik Fleischmann,Hugh Harvey,Les R. Folio,Ronald M. Summers,Daniel L. Rubin,Matthew P. Lungren +9 more
TL;DR: Fundamental steps for preparing medical imaging data in AI algorithm development are described, current limitations to data curation are explained, and new approaches to address the problem of data availability are explored.