J
James Zou
Researcher at Stanford University
Publications - 338
Citations - 26576
James Zou is an academic researcher from Stanford University. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 46, co-authored 245 publications receiving 18642 citations. Previous affiliations of James Zou include Microsoft & Harvard University.
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Journal ArticleDOI
Analysis of protein-coding genetic variation in 60,706 humans
Monkol Lek,Konrad J. Karczewski,Konrad J. Karczewski,Eric Vallabh Minikel,Eric Vallabh Minikel,Kaitlin E. Samocha,Eric Banks,Timothy Fennell,Anne H. O’Donnell-Luria,Anne H. O’Donnell-Luria,Anne H. O’Donnell-Luria,James S. Ware,Andrew J. Hill,Andrew J. Hill,Andrew J. Hill,Beryl B. Cummings,Beryl B. Cummings,Taru Tukiainen,Taru Tukiainen,Daniel P. Birnbaum,Jack A. Kosmicki,Laramie E. Duncan,Laramie E. Duncan,Karol Estrada,Karol Estrada,Fengmei Zhao,Fengmei Zhao,James Zou,Emma Pierce-Hoffman,Emma Pierce-Hoffman,Joanne Berghout,David Neil Cooper,Nicole A. Deflaux,Mark A. DePristo,Ron Do,Jason Flannick,Jason Flannick,Menachem Fromer,Laura D. Gauthier,Jackie Goldstein,Jackie Goldstein,Namrata Gupta,Daniel P. Howrigan,Daniel P. Howrigan,Adam Kiezun,Mitja I. Kurki,Mitja I. Kurki,Ami Levy Moonshine,Pradeep Natarajan,Lorena Orozco,Gina M. Peloso,Gina M. Peloso,Ryan Poplin,Manuel A. Rivas,Valentin Ruano-Rubio,Samuel A. Rose,Douglas M. Ruderfer,Khalid Shakir,Peter D. Stenson,Christine Stevens,Brett Thomas,Brett Thomas,Grace Tiao,María Teresa Tusié-Luna,Ben Weisburd,Hong-Hee Won,Dongmei Yu,David Altshuler,David Altshuler,Diego Ardissino,Michael Boehnke,John Danesh,Stacey Donnelly,Roberto Elosua,Jose C. Florez,Jose C. Florez,Stacey Gabriel,Gad Getz,Gad Getz,Stephen J. Glatt,Christina M. Hultman,Sekar Kathiresan,Markku Laakso,Steven A. McCarroll,Steven A. McCarroll,Mark I. McCarthy,Mark I. McCarthy,Dermot P.B. McGovern,Ruth McPherson,Benjamin M. Neale,Benjamin M. Neale,Aarno Palotie,Shaun Purcell,Danish Saleheen,Jeremiah M. Scharf,Pamela Sklar,Patrick F. Sullivan,Patrick F. Sullivan,Jaakko Tuomilehto,Ming T. Tsuang,Hugh Watkins,Hugh Watkins,James G. Wilson,Mark J. Daly,Mark J. Daly,Daniel G. MacArthur,Daniel G. MacArthur +106 more
TL;DR: The aggregation and analysis of high-quality exome (protein-coding region) DNA sequence data for 60,706 individuals of diverse ancestries generated as part of the Exome Aggregation Consortium (ExAC) provides direct evidence for the presence of widespread mutational recurrence.
Posted ContentDOI
Analysis of protein-coding genetic variation in 60,706 humans
Monkol Lek,Konrad J. Karczewski,Eric Vallabh Minikel,Kaitlin E. Samocha,Eric Banks,Timothy Fennell,Anne H. O’Donnell-Luria,James S. Ware,Andrew J. Hill,Beryl B. Cummings,Taru Tukiainen,Daniel P. Birnbaum,Jack A. Kosmicki,Laramie E. Duncan,Karol Estrada,Fengmei Zhao,James Zou,Emma Pierce-Hoffman,David Neil Cooper,Mark A. DePristo,Ron Do,Jason Flannick,Menachem Fromer,Laura D. Gauthier,Jackie Goldstein,Namrata Gupta,Daniel P. Howrigan,Adam Kiezun,Mitja I. Kurki,Ami Levy Moonshine,Pradeep Natarajan,Lorena Orozco,Gina M. Peloso,Ryan Poplin,Manuel A. Rivas,Valentin Ruano-Rubio,Douglas M. Ruderfer,Khalid Shakir,Peter D. Stenson,Christine Stevens,Brett Thomas,Grace Tiao,María Teresa Tusié-Luna,Ben Weisburd,Hong-Hee Won,Dongmei Yu,David Altshuler,Diego Ardissino,Michael Boehnke,John Danesh,Roberto Elosua,Jose C. Florez,Stacey Gabriel,Gad Getz,Christina M. Hultman,Sekar Kathiresan,Markku Laakso,Steven A. McCarroll,Mark I. McCarthy,Dermot P.B. McGovern,Ruth McPherson,Benjamin M. Neale,Aarno Palotie,Shaun Purcell,Danish Saleheen,Jeremiah M. Scharf,Pamela Sklar,Patrick F. Sullivan,Jaakko Tuomilehto,Hugh Watkins,James G. Wilson,Mark J. Daly,Daniel G. MacArthur +72 more
TL;DR: The aggregation and analysis of high-quality exome (protein-coding region) sequence data for 60,706 individuals of diverse ethnicities generated as part of the Exome Aggregation Consortium (ExAC) provides direct evidence for the presence of widespread mutational recurrence.
Proceedings Article
Man is to computer programmer as woman is to homemaker? debiasing word embeddings
TL;DR: The authors showed that even word embeddings trained on Google News articles exhibit female/male gender stereotypes to a disturbing extent, which raises concerns because their widespread use often tends to amplify these biases.
Posted Content
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings
TL;DR: This work empirically demonstrates that its algorithms significantly reduce gender bias in embeddings while preserving the its useful properties such as the ability to cluster related concepts and to solve analogy tasks.
Journal ArticleDOI
Word embeddings quantify 100 years of gender and ethnic stereotypes.
TL;DR: A framework to demonstrate how the temporal dynamics of the embedding helps to quantify changes in stereotypes and attitudes toward women and ethnic minorities in the 20th and 21st centuries in the United States is developed.