New generative methods for single-cell transcriptome data in bulk RNA sequence deconvolution

Abstract Numerous methods for bulk RNA sequence deconvolution have been developed to identify cellular targets of diseases by understanding the composition of cell types in disease-related tissues. However, issues of heterogeneity in gene expression between subjects and the shortage of reference sin...

Full description

Bibliographic Details
Main Authors: Toui Nishikawa, Masatoshi Lee, Masataka Amau
Format: Article
Language:English
Published: Nature Portfolio 2024-02-01
Series:Scientific Reports
Subjects:
Online Access:https://doi.org/10.1038/s41598-024-54798-z