An algorithm for the identification of pathways and networks associated with different phenotypes. PhenoNet uses two types of input data: gene expression data (RMA, RPKM, FPKM, etc.) and phenotypic information, and integrates these data with curated pathways and protein-protein interaction information. Comprehensive iterations across all possible pathways and subnetworks result in the identification of key pathways or subnetworks that distinguish between the two phenotypes.

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PhenoNet classification

  • Animals
    • Homo sapiens

PhenoNet specifications

Software type:
Package
Restrictions to use:
None
Computer skills:
Advanced
Interface:
Command line interface
Operating system:
Unix/Linux
Stability:
Stable

Publications

  • (Ben-Hamo et al., 2014) PhenoNet: identification of key networks associated with disease phenotype. Bioinformatics.
    PMID: 24812342

Link to literature

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