Published August 2023
| Version v1
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EPIC-unmix
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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.
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Software
- Repository URL
- https://github.com/quansun98/EPICunmix
- Programming language
- R