Fast effect size shrinkage software for beta-binomial models of allelic imbalance is a research paper published in F1000Research (2020). On theSindex it has a DataRank of 0. It has been cited 25 times.
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National Institutes of Health
Grant: R01HG009125
National Institutes of Health
Grant: R01HG009937
National Institutes of Health
Grant: R01MH118349
National Institutes of Health
Grant: P01CA142538
National Institutes of Health
Grant: P30ES010126
National Institutes of Health
Grant: 5R01HG009937-02
A Modular Framework for Accurate, Efficient, and Reproducible Analysis of RNA-Seq Data
National Institutes of Health
Grant: 5R01MH118349-05
pathQTL: Integrative Multi-Omics Causal Inference of Molecular Mechanisms Leading to Neuropsychiatric Illness
National Institutes of Health
Grant: 5P30ES010126-11
UNC-CH Center for Environmental Health and Suscesptibility
National Institutes of Health
Grant: 5P01CA142538-09
Statistical Methods for Cancer Clinical Trials
National Institutes of Health
Grant: 1R01HG009125-01
Multi-tissue and network models for next-generation EQTL studies
FWCI
2.25
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Additional file 1 of SEESAW: detecting isoform-level allelic imbalance accounting for inferential uncertainty
Additional file 1 of SEESAW: detecting isoform-level allelic imbalance accounting for inferential uncertainty
Additional file 2 of SEESAW: detecting isoform-level allelic imbalance accounting for inferential uncertainty
Additional file 2 of SEESAW: detecting isoform-level allelic imbalance accounting for inferential uncertainty