Article

Identification of cell types, states and programs by learning gene set representations

2023-09-12

Abstract excerpt

As single cell molecular data expand, there is an increasing need for algorithms that efficiently query and prioritize gene programs, cell types and states in single-cell sequencing data, particularly in cell atlases. Here we present scDECAF, a statistical learning algorithm to identify cell types, states and programs in single-cell gene expression data using vector representation of gene sets, which improves biol...

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Literature Corpus work: 16525593-92b0-5df8-a485-ebf209be8cb8
DOI: 10.1101/2023.09.08.556842

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