Predicting the DNA binding specificity of transcription factor mutants using family-level biophysically interpretable machine learning is a research paper published in Nucleic Acids Research (2025). On theSindex it has a DataRank of 0. It has been cited 3 times.
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National Institute of Mental Health
Grant: R01MH106842
National Institute of General Medical Sciences
Grant: R24GM153869
National Institute of General Medical Sciences
Grant: R35GM118336
National Human Genome Research Institute
Grant: R01HG003008
National Institutes of Health
Grant: 1R24GM153869-01
X3DNA-DSSR: a resource for structural bioinformatics of nucleic acids
National Institutes of Health
Grant: 5R35GM118336-03
Interpreting and Deploying Genomic Information During Animal Development
National Institutes of Health
Grant: 5R01HG003008-02
Inferring regulatory circuitry from microarray data
National Institutes of Health
Grant: 1F99HG013039-01
Leveraging natural and engineered genetic barcodes from single cell RNA sequencing to investigate cellular evolution, clonal expansion, and associations between cellular genotypes and phenotypes
National Institutes of Health
Grant: 5R01MH106842-08
Integrative analysis of genetic variation and transcription factor networks to elucidate mechanisms of mental health disorders
NIH
NIH
FWCI
1.24
Citation Percentile
0.8%
Citation Trend
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