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  • Published Article: DeFine: deep convolutional neural networks accurately quantify intensities of transcription factor-DNA binding and facilitate evaluation of functional non-coding variants

Title: DeFine: deep convolutional neural networks accurately quantify intensities of transcription factor-DNA binding and facilitate evaluation of functional non-coding variants

Authors:
 [1] ;  [2] ;  [3] ;  [1]
+ Show Author Affiliations
  1. Center for Bioinformatics, State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, Peking University, Beijing, 100871, P.R. China
  2. Center for Data Science, Peking University, Beijing, 100871, P.R. China, Beijing Institute of Big Data Research, Beijing, 100871, P.R. China
  3. Center for Data Science, Peking University, Beijing, 100871, P.R. China, Beijing Institute of Big Data Research, Beijing, 100871, P.R. China, Department of Mathematics and PACM, Princeton University, Princeton, NJ, 08544, USA
Publication Date:
Grant/Contract Number:
SC0009248
Type:
Published Article
Journal Name:
Nucleic Acids Research
Additional Journal Information:
Related Information: CHORUS Timestamp: 2018-04-02 00:13:48; Journal ID: ISSN 0305-1048
Publisher:
Oxford University Press
Sponsoring Org:
USDOE
Country of Publication:
United Kingdom
Language:
English
OSTI Identifier:
1430754