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Article

Prediction of potential cancer-risk regions based on transcriptome data: towards a comprehensive view.

PloS one - 1 Jan 2014

Alisoltani Arghavan, Fallahi Hossein, Ebrahimi Mahdi, Ebrahimi Mansour, Ebrahimie Esmaeil

Abstract excerpt

A novel integrative pipeline is presented for discovery of potential cancer-susceptibility regions (PCSRs) by calculating the number of altered genes at each chromosomal region, using expression microarray datasets of different human cancers (HCs). Our novel approach comprises primarily predicting PCSRs followed by identification of key genes in these regions to obtain potential regions harboring new...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Source

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Identifiers

PMID: 24796549
DOI: 10.1371/journal.pone.0096320
PMCID: PMC4010480

Genes

GAPDH
KLF4
LIFR
SOX10
ZEB2

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026. Manifest publication-graph-cohort-2026-09-05.1.

Source receipt: pubmed, retrieved 5 Sept 2026.

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