Annotating functional effects of non-coding variants in neuropsychiatric cell types by deep transfer learning is a research paper published in PLoS Computational Biology (2022). On theSindex it has a DataRank of 0. It has been cited 11 times.
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national institute of mental health
Grant: R01MH116281
national institute of mental health
Grant: R01MH110531
national institute of general medical sciences
Grant: R01GM089753
University of Chicago Biological Sciences Division
Grant: BSD 2021-22
NIA NIH HHS
Grant: R01 AG063175
NIMH NIH HHS
Grant: R01 MH106575
National Institutes of Health
Grant: 2R01MH110531-04
Integrative Approaches to Understanding Genetic Basis of Neuropsychiatric Diseases
National Institutes of Health
Grant: 1R01MH116281-01A1
Integrating epigenomics with DNA breathing dynamics for human non-coding disease variants
National Institutes of Health
Grant: 2R01GM089753-06A1
New Computational Methods for Data-driven Protein Structure Prediction
FWCI
1.85
Citation Percentile
0.9%
Citation Trend
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