David M. Umbach

CDSeqR improves computational efficiency of CDSeq for bulk RNA-seq deconvolution and adds a function for cell type annotation using scRNA-seq data.

The paper builds predictive models for drug sensitivity using gene expression data from cancer cell lines and applies them to predict drug responses in tumor and normal tissues.

This paper introduces CDSeq, a computational method that estimates both cell type proportions and gene expression profiles from bulk RNA-seq data, outperforming existing methods in accuracy.