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#6004. Fusing gene expressions and transitive protein-protein interactions for inference of gene regulatory networks

August 2026	publication date
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4 total number of authors per manuscript	0 $

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Journal’s subject area:

Medicine Biology

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Abstract:
Background: Systematic fusion of multiple data sources for Gene Regulatory Networks (GRN) inference remains a key challenge in systems biology. We incorporate information from protein-protein interaction networks (PPIN) into the process of GRN inference from gene expression (GE) data. However, existing PPIN remain sparse and transitive protein interactions can help predict missing protein interactions. We therefore propose a systematic probabilistic framework on fusing GE data and transitive protein interaction data to coherently build GRN.
Keywords:
Gaussian mixture model (GMM); Gene expressions; Gene regulatory network (GRN); Protein-protein interaction networks; Transitive protein-protein interactions

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