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Single-cell gene regulatory network reconstruction and key regulator identification using a dual-channel fusion graph convolutional network

2026-06-07

Abstract excerpt

<h4>Background and objective</h4> Gene regulatory networks are formed by complex regulatory relationships between transcription factors and their target genes. A systematic understanding of these regulatory relationships is crucial for deciphering the molecular mechanisms that underlie cell state transitions under physiological and pathological conditions. Single-cell expression data can reveal cell-type-specific...

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Literature Corpus work
abf07f5c-168b-5bc0-a9e8-6c73c8630105
DOI
10.64898/2026.06.05.730394
Open publication

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Single-cell gene regulatory network reconstruction and key regulator identification using a dual-channel fusion graph convolutional networkDOI 10.64898/2026.06.05.730394
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