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Article

Integrating mutation and gene expression cross-sectional data to infer cancer progression.

BMC systems biology - 25 Jan 2016

Fleck Julia L, Pavel Ana B, Cassandras Christos G

Abstract excerpt

BACKGROUND: A major problem in identifying the best therapeutic targets for cancer is the molecular heterogeneity of the disease. Cancer is often caused by an accumulation of mutations which produce irreversible damage to the cell's control mechanisms of survival and proliferation. Different mutations may affect these cellular anachronisms through a combination of molecular interactions which may be dynamically...

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Identifiers

PMID: 26810975
DOI: 10.1186/s12918-016-0255-6
PMCID: PMC4727329

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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