Article

scDisInFact: disentangled learning for integration and prediction of multi-batch multi-condition single-cell RNA-sequencing data

2023-05-02

Abstract excerpt

<h4>ABSTRACT</h4> Single-cell RNA-sequencing (scRNA-seq) has been widely used for disease studies, where sample batches are collected from donors under different conditions including demographical groups, disease stages, and drug treatments. It is worth noting that the differences among sample batches in such a study are a mixture of technical confounders caused by batch effect and the biological variations cause...

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Literature Corpus work: b98303d0-5a4d-511a-bb15-70852ed3e771
DOI: 10.1101/2023.05.01.538975

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