Article

Variant to function mapping at single-cell resolution through network propagation

2022-01-24

Abstract excerpt

<h4>ABSTRACT</h4> With burgeoning human disease genetic associations and single-cell genomic atlases covering a range of tissues, there are unprecedented opportunities to systematically gain insights into the mechanisms of disease-causal variation. However, sparsity and noise, particularly in the context of single-cell epigenomic data, hamper the identification of disease- or trait-relevant cell types, states, an...

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Literature Corpus work: ba900b36-05f7-5fa6-a31a-7d8b97c635b8
DOI: 10.1101/2022.01.23.477426

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