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Estimating cell compositions and cell-type-specific expressions from GWAS data using invariant causal prediction, deep learning and regularized matrix completion: Bridging GWAS and single-cell resolution in Biobank-scale studies

2024-12-24

Abstract excerpt

<title>Abstract</title> <p>Dissecting large bulk RNA-seq data into cell-type proportions and cell-type-specific expression profiles has the potential to significantly enhance our understanding of disease mechanisms at the cellular level. While single-cell RNA sequencing provides detailed cellular insights, its application is limited by small sample sizes and cost constraints. Conversely, large-scale GWAS datasets...

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Literature Corpus work: 9751c5a2-5077-511b-84d7-d490a6edc315
DOI: 10.21203/rs.3.rs-5451188/v1

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