DeepReGraph co-clusters temporal gene expression and cis-regulatory elements through heterogeneous g...
DeepReGraph co-clusters temporal gene expression and cis-regulatory elements through heterogeneous graph representation learning [version 1; peer review: 1 approved, 1 approved with reservations]
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English
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This work presents DeepReGraph, a novel method for co-clustering genes and cis-regulatory elements (CREs) into candidate regulatory networks. Gene expression data, as well as data from three CRE activity markers from a publicly available dataset of mouse fetal heart tissue, were used for DeepReGraph concept proofing. In this study we used open chro...
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DeepReGraph co-clusters temporal gene expression and cis-regulatory elements through heterogeneous graph representation learning [version 1; peer review: 1 approved, 1 approved with reservations]
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TN_cdi_crossref_primary_10_12688_f1000research_114698_1
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_12688_f1000research_114698_1
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2046-1402
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2046-1402
DOI
10.12688/f1000research.114698.1
