A
Anshul Kundaje
Researcher at Stanford University
Publications - 252
Citations - 43164
Anshul Kundaje is an academic researcher from Stanford University. The author has contributed to research in topics: Chromatin & Gene. The author has an hindex of 60, co-authored 203 publications receiving 32299 citations. Previous affiliations of Anshul Kundaje include Microsoft & Columbia University.
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Journal ArticleDOI
Defining functional DNA elements in the human genome
Manolis Kellis,Barbara J. Wold,Michael Snyder,Bradley E. Bernstein,Anshul Kundaje,Georgi K. Marinov,Lucas D. Ward,Ewan Birney,Gregory E. Crawford,Job Dekker,Ian Dunham,Laura Elnitski,Peggy J. Farnham,Elise A. Feingold,Mark Gerstein,Morgan C. Giddings,David M. Gilbert,Thomas R. Gingeras,Eric D. Green,Roderic Guigó,Tim Hubbard,Jim Kent,Jason D. Lieb,Richard M. Myers,Michael J. Pazin,Bing Ren,John A. Stamatoyannopoulos,Zhiping Weng,Kevin P. White,Ross C. Hardison +29 more
TL;DR: The strengths and limitations of biochemical, evolutionary, and genetic approaches for defining functional DNA segments, potential sources for the observed differences in estimated genomic coverage, and the biological implications of these discrepancies are reviewed.
Posted Content
WILDS: A Benchmark of in-the-Wild Distribution Shifts
Pang Wei Koh,Shiori Sagawa,Henrik Marklund,Sang Michael Xie,Marvin Zhang,Akshay Balsubramani,Weihua Hu,Michihiro Yasunaga,Richard Lanas Phillips,Irena Gao,Tony Lee,Etienne David,Ian Stavness,Wei Guo,Berton A. Earnshaw,Imran S. Haque,Sara Beery,Jure Leskovec,Anshul Kundaje,Emma Pierson,Sergey Levine,Chelsea Finn,Percy Liang +22 more
TL;DR: WILDS is presented, a benchmark of in-the-wild distribution shifts spanning diverse data modalities and applications, and is hoped to encourage the development of general-purpose methods that are anchored to real-world distribution shifts and that work well across different applications and problem settings.
Journal ArticleDOI
Integrative annotation of chromatin elements from ENCODE data
Michael M. Hoffman,Jason Ernst,Jason Ernst,Jason Ernst,Steven P. Wilder,Anshul Kundaje,Anshul Kundaje,Robert S. Harris,Max Libbrecht,Belinda Giardine,Paul Ellenbogen,Jeff A. Bilmes,Ewan Birney,Ross C. Hardison,Ian Dunham,Manolis Kellis,Manolis Kellis,William Stafford Noble +17 more
TL;DR: These methods rediscover and summarize diverse aspects of chromatin architecture, elucidate the interplay between chromatin activity and RNA transcription, and reveal that a large proportion of the genome lies in a quiescent state, even across multiple cell types.
Journal ArticleDOI
Fine mapping of type 1 diabetes susceptibility loci and evidence for colocalization of causal variants with lymphoid gene enhancers.
Suna Onengut-Gumuscu,Wei-Min Chen,Oliver S. Burren,Nicholas J. Cooper,Aaron R. Quinlan,Josyf C. Mychaleckyj,Emily Farber,Jessica K. Bonnie,Michal Szpak,Ellen Schofield,Premanand Achuthan,Hui Guo,Mary D Fortune,Helen Stevens,Neil Walker,Lucas D. Ward,Anshul Kundaje,Manolis Kellis,Mark J. Daly,Jeffrey C. Barrett,Jason D. Cooper,Panos Deloukas,John A. Todd,Chris Wallace,Patrick Concannon,Stephen S. Rich +25 more
TL;DR: In this paper, a Bayesian approach was used to define credible sets for the T1D-associated SNPs localized to enhancer sequences active in thymus, T and B cells, and CD34(+) stem cells.
Posted Content
Not Just a Black Box: Learning Important Features Through Propagating Activation Differences
TL;DR: DeepLIFT (Learning Important FeaTures), an efficient and effective method for computing importance scores in a neural network that compares the activation of each neuron to its 'reference activation' and assigns contribution scores according to the difference.