twas_sim, a Python-based tool for simulation and power analysis of transcriptome-wide association analysis is a research paper published in Bioinformatics (2023). On theSindex it has a DataRank of 0. It has been cited 6 times.
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NIH
Grant: R01HG012133
NIH
Grant: R01GM140287
NIH
Grant: R01CA258808
National Institutes of Health
Grant: 1R01CA258808-01
An integrative multi-omics approach to characterize prostate cancer risk in diverse populations
National Institutes of Health
Grant: 1R01HG012133-01
Characterizing the evolutionary architecture of complex disease within and across diverse populations
National Institutes of Health
Grant: 5R01GM140287-02
Haplotype-aware models of gene and isoform expression with application to genetic studies of disease in diverse populations
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