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Article

Complex networks approach to gene expression driven phenotype imaging.

Bioinformatics (Oxford, England) - 15 Oct 2005

Diambra L, da F Costa L

Abstract excerpt

MOTIVATION: The need is to visualize and quantify gene expression spatial patterns. Because of their generality for representation of interaction among several elements, complex networks are used to measure the spatial interactions and adjacencies defined by gene expression patterns. RESULTS: Enhanced visualization of spatial interactions between elements where genes are expressed is possible, allowing the...

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PMID: 16105902
DOI: 10.1093/bioinformatics/bti625

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

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