Article

scContrast: A contrastive learning based approach for encoding single-cell gene expression data

2025-04-14

Abstract excerpt

Single-cell RNA sequencing (scRNA-seq) captures gene expression at a individual cell resolution, which reveals critical insights into cellular diversity, disease processes, and developmental biology. However, a key challenge in scRNA-seq analysis is clustering similar cells across multiple batches, particularly when distinct sequencing protocols are used. In this work, we present scContrast, a semi-supervised cont...

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Literature Corpus work: 0f537061-5398-5b39-9022-63a5a8edbcca
DOI: 10.1101/2025.04.07.647292

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