Article

Benchmarking deep learning methods for biologically conserved single-cell integration

2024-12-13

Abstract excerpt

Advancements in single-cell RNA sequencing (scRNA-seq) have enabled the analysis of millions of cells, but integrating such data across samples and methods while mitigating batch effects remains challenging. Deep learning approaches address this by learning biologically conserved gene expression representations, yet systematic benchmarking of loss functions and integration performance is lacking. This study evalua...

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Literature Corpus work: 6830ee4f-ffd5-55e1-b1a8-6fa2e6e50d6c
DOI: 10.1101/2024.12.09.627450

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