randel / EnsDeconv

Ensemble Deconvolution to robustly estimate cellular fractions from bulk omics data
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EnsDeconv

EnsDeconv (Ensemble Deconvolution) uses ensemble learning to robustly estimate cellular fractions from bulk omics.

Installation


devtools::install_github("randel/EnsDeconv")

Workflow

Tutorial

https://randel.github.io/EnsDeconv/

Shiny app

https://shiny.crc.pitt.edu/ensdeconv/

Reference

Cai, M., Yue, M., Chen, T., Liu, J., Forno, E., Lu, X., Billiar, T., Celedón, J., Mckennan, C., Chen, W., Wang, J., 2022. Robust and accurate estimation of cellular fraction from tissue omics data via ensemble deconvolution. Bioinformatics 38, 3004–3010. 10.1093/bioinformatics/btac279