Article

Interpretable single-cell factor decomposition using sciRED

2024-08-06

Abstract excerpt

Single-cell RNA sequencing (scRNA-seq) maps gene expression heterogeneity within a tissue. However, identifying biological signals in this data is challenging due to confounding technical factors, sparsity, and high dimensionality. Data factorization methods address this by separating and identifying signals in the data, such as gene expression programs, but the resulting factors must be manually interpreted. We d...

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Literature Corpus work: 316a2f87-04f7-5c5a-af47-ef23bc2b6025
DOI: 10.1101/2024.08.01.605536

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