Published August 2023 | Version v1

EPIC-unmix

Authors/Creators

Contributors

Researcher:

Description

EPIC-unmix is a two-step Bayesian method designed for cell-type-specific (CTS) analysis built upon the bMIND method. Similarly, it can provide sample-level CTS expression from the bulk RNA-seq data, with the aid of a reference panel derived from single-cell/single-nuclei RNA-seq data. The second layer of Bayesian method, which distinguishes EPIC-unmix from bMIND, could adjust for the heterogeneity between reference and target samples, leading to more enhanced and robust performance.

Files

Files (54.5 kB)

Name Size
md5:1aff0337f25e6aa4943046a1fdaddd18
22.2 kB Download
md5:acbd9ae15e579ba186ba44b7eae89be0
19.0 kB Download
md5:1aa7d9972f458a6213071cb8c36c93f0
8.2 kB Download
md5:107abb20c451ef524d60048c8377dc31
5.2 kB Download

Additional details

Software

Repository URL
https://github.com/quansun98/EPICunmix
Programming language
R