Article

Augmenting the human interactome for disease prediction through gene networks inferred from human cell atlas

2024-12-17

Abstract excerpt

Gene co-expression network inference from bulk tissue samples often misses cell-type-specific interactions, which can be detected through single-cell gene expression data. However, the noise and sparsity of single-cell data challenge the inference of these networks. We developed scNET, a framework for integrative cell-type-specific co-expression network inference from single-cell transcriptome data, demonstrating...

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Literature Corpus work: e4f6affe-1825-5e19-b4e9-3ee7efbbbae8
DOI: 10.1101/2024.12.12.628105

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