Interpreting cis -regulatory mechanisms from genomic deep neural networks using surrogate models is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2023). On theSindex it has a DataRank of 0. It has been cited 11 times.
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National Institutes of Health
Grant: 5R01HG011787-03
A unified quantitative modeling strategy for multiplex assays of variant effect
National Institutes of Health
Grant: 1R35GM133613-01
Computational analysis of complex genetic interactions
National Institutes of Health
Grant: 5R01GM149921-03
Reliable post hoc interpretations of deep learning in genomics
National Institutes of Health
Grant: 1S10OD028632-01
Graphical Processing Units and a Large-Memory Compute Node for Applications in Genomics, Neuroscience, and Structural Biology
National Institutes of Health
Grant: 5R01HG012131-03
Interpretable Computational Models of Functional Genomics Data
National Institutes of Health
Grant: 1R35GM133777-01
Biophysical modeling of cis-regulatory complexes in transcription and splicing using massively parallel reporter assays
NHGRI NIH HHS
Grant: R01 HG011787
NIGMS NIH HHS
Grant: R35 GM133613
NIGMS NIH HHS
Grant: R01 GM149921
NHGRI NIH HHS
Grant: R01 HG012131
NIH HHS
Grant: S10 OD028632
NIGMS NIH HHS
Grant: R35 GM133777
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