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Article

PHOCOS: inferring multi-feature phenotypic crosstalk networks.

Bioinformatics (Oxford, England) - 15 Jun 2016

Deng Yue, Altschuler Steven J, Wu Lani F

Abstract excerpt

MOTIVATION: Quantification of cellular changes to perturbations can provide a powerful approach to infer crosstalk among molecular components in biological networks. Existing crosstalk inference methods conduct network-structure learning based on a single phenotypic feature (e.g. abundance) of a biomarker. These approaches are insufficient for analyzing perturbation data that can contain information about...

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Identifiers

PMID: 27307643
DOI: 10.1093/bioinformatics/btw251
PMCID: PMC4908335

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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