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Article

Identification of collaborative driver pathways in breast cancer.

BMC genomics - 17 Jul 2014

Liu Yang, Hu Zhenjun

Abstract excerpt

BACKGROUND: An important challenge in cancer biology is to computationally screen mutations in cancer cells, separating those that might drive cancer initiation and progression, from the much larger number of bystanders. Since mutations are large in number and diverse in type, the frequency of any particular mutation pattern across a set of samples is low. This makes statistical distinctions and reproducibility...

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Share to Genes, Neoplasm
Share to Genetic Association Studies
Share to Reproducibility of Results

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Breast Neoplasms

Share to Cell Transformation, Neoplastic

Share to Data Interpretation, Statistical

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Source

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Identifiers

PMID: 25034939
DOI: 10.1186/1471-2164-15-605
PMCID: PMC4111852

Provenance

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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