DECOMICS, a shiny application for unsupervised cell type deconvolution and biological interpretation of bulk omic data.

ABSTRACT:

Summary

Unsupervised deconvolution algorithms are often used to estimate cell composition from bulk tissue samples. However, applying cell-type deconvolution and interpreting the results remain a challenge, even more without prior training in bioinformatics. Here, we propose a tool for estimating and identifying cell type composition from bulk transcriptomes or methylomes. DECOMICS is a shiny-web application dedicated to unsupervised deconvolution approaches of bulk omic data. It provides (i) a variety of existing algorithms to perform deconvolution on the gene expression or methylation-level matrix, (ii) an enrichment analysis module to aid biological interpretation of the deconvolved components, based on enrichment analysis, and (iii) some visualization tools. Input data can be d

SUBMITTER: Karkar S 

PROVIDER: S-EPMC11479579 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature