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Cell-type specific inference from bulk RNA-sequencing data by integrating single cell reference profiles via EPIC-unmix

2024-09-26

Abstract excerpt

<title>Abstract</title> <p>Cell type-specific (CTS) analysis is crucial for uncovering biological insights hidden in bulk tissue data, yet single-cell (sc) or single-nuclei (sn) approaches are often cost-prohibitive for large samples. We introduce EPIC-unmix, a novel two-step empirical Bayesian method combining reference sc/sn and bulk RNA-seq data to improve CTS inference, accounting for the difference between r...

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Literature Corpus work
2b52e1e4-4e8f-5c7b-b671-6f891d19f903
DOI
10.21203/rs.3.rs-4979032/v1
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Cell-type specific inference from bulk RNA-sequencing data by integrating single cell reference profiles via EPIC-unmixDOI 10.21203/rs.3.rs-4979032/v1
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