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

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 f...

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Principais autores:	Euijeong Sung, Junha Cha, Seungbyn Baek, Insuk Lee
Format:	Artigo
Jezik:	Inglês
Izdano:	Taylor & Francis Group 2025-12-01
Serija:	Animal Cells and Systems
Teme:	Single-cell network cell-type-specific network human interactome
Online dostop:	https://www.tandfonline.com/doi/10.1080/19768354.2025.2472002
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