Zeya Wang

The paper presents an R pipeline using DeMixT for tumor-stroma-immune transcriptome deconvolution, showing immune proportion variations in COAD and PRAD datasets.

DeMixT improves transcriptomic deconvolution by estimating component proportions and expression profiles in heterogeneous samples, showing high accuracy in validation and TCGA data.

This paper introduces an RNA-seq mixture experiment using two cancer cell lines to benchmark library preparation kits and analysis methods, finding that total RNA kits and voom with quality weights perform best.