Article

scRepresenter: a workflow for computing, integrating and benchmarking cellular representations in single-cell transcriptomics

2026-07-20

Abstract excerpt

<h4>Motivation</h4> Single-cell RNA sequencing (scRNA-seq) has become an attractive tool for studying complex diseases, in which transient cell states affecting diverse cell populations characterise disease development and progression. However, due to data sparsity and disease heterogeneity analysis is often challenging. With recent advances in machine learning, two widely used approaches have emerged for learnin...

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Literature Corpus work: 7223d312-ed1d-5902-9809-ca033bd0d320
DOI: 10.64898/2026.07.15.738660

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