GEEES: inferring cell-specific gene-enhancer interactions from multi-modal single-cell data

Gene-enhancer interactions are central to transcriptional regulation. Current multi-modal single-cell datasets that profile transcriptome and chromatin accessibility simultaneously in a single cell are yielding opportunities to infer gene-enhancer associations in a cell type specific manner. Computa...

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Veröffentlicht in:	Bioinformatics (Oxford, England) England), 2024-11, Vol.40 (11)
Hauptverfasser:	Chen, Shuyang, Keleş, Sündüz
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Chromatin - chemistry Chromatin - genetics Chromatin - metabolism Computational Biology - methods Enhancer Elements, Genetic Humans Original Paper Single-Cell Analysis - methods Transcriptome - genetics
Online-Zugang:	Volltext
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