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scDecorr - Feature decorrelation representation learning with domain adaptation enables self-supervised alignment of multiple single-cell experiments

2024-05-21

Abstract excerpt

Single-cell RNA sequencing (scRNA-seq) has revolutionized our understanding of cellular heterogeneity in complex biological systems. However, analyzing and integrating scRNA-seq data poses unique computational challenges due to sparsity, high variability, and technical batch effects. Here, we propose a novel framework called scDecorr for robust representation learning and data integration for scRNA-seq analysis. O...

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Literature Corpus work
83e5bf3d-59b6-5662-9b85-1a75f1cc2f86
DOI
10.1101/2024.05.17.594763
Open publication

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scDecorr - Feature decorrelation representation learning with domain adaptation enables self-supervised alignment of multiple single-cell experimentsDOI 10.1101/2024.05.17.594763
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