Article

Estimating cell compositions and cell-type-specific expressions from GWAS data using invariant causal prediction, deep learning and regularized matrix completion

2024-10-17

Abstract excerpt

Dissecting large bulk RNA-seq data into cell proportions and cell type specific expression profiles could significantly enhance our understanding of disease mechanisms at cell level and facilitate the identification of novel drug targets and development of efficient intervention strategies. In this study, we presented a scRNA-seq marker (gene) informed cell deconvolution and expression inference (CausalCellInfer)...

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Literature Corpus work: 760f0c06-401c-550f-b532-e67b28bd7a61
DOI: 10.1101/2024.10.17.24315646

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