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bioRxiv · 10.1101/456293

Tissue-Specific Enrichment Analysis (TSEA) to decode tissue specificity

Pei, G.·Dai, Y.·Zhao, Z.·Jia, P.
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Abstract

MotivationDiseases 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.\n\nResultsWe present TSEA, an R package to conduct Tissue-Specific Enrichment Analysis (TSEA) 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 data and cancer expression data showed that TSEA could effectively identify the most relevant tissues for each query trait or sample, providing insights for future studies.\n\nAvailabilityhttps://github.com/bsml320/TSEA\n\nContactpeilin.jia@uth.tmc.edu or zhongming.zhao@uth.tmc.edu

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Pei, G., Dai, Y., Zhao, Z., Jia, P.. 2018-11-09. Tissue-Specific Enrichment Analysis (TSEA) to decode tissue specificity. https://doi.org/10.1101/456293

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