Mar 3, 2019

deTS: tissue-specific enrichment analysis to decode tissue specificity

Bioinformatics
Guangsheng PeiPeilin Jia

Abstract

Diseases and traits are under dynamic tissue-specific regulation. However, heterogeneous tissues are often collected in biomedical studies, which reduce the power in the identification of disease-associated variants and gene expression profiles. We present deTS, an R package, to conduct tissue-specific enrichment analysis with two built-in reference panels. Statistical methods are developed and implemented for detecting tissue-specific genes and for enrichment test of different forms of query data. Our applications using multi-trait genome-wide association studies data and cancer expression data showed that deTS could effectively identify the most relevant tissues for each query trait or sample, providing insights for future studies. https://github.com/bsml320/deTS and CRAN https://cran.r-project.org/web/packages/deTS/. Supplementary data are available at Bioinformatics online.

Mentioned in this Paper

Genome-Wide Association Study
Study
Laboratory Procedures
Regulation of Biological Process
Gene Expression
Deet
Statistical Technique
Analysis
Biomedical Research
EAF2 gene

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