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Article

Gene interaction perturbation network deciphers a high-resolution taxonomy in colorectal cancer.

eLife - 8 Nov 2022

Liu Zaoqu, Weng Siyuan, Dang Qin, Xu Hui, Ren Yuqing, Guo Chunguang, Xing Zhe, Sun Zhenqiang, Han Xinwei

Abstract excerpt

Molecular subtypes of colorectal cancer (CRC) are currently identified via the snapshot transcriptional profiles, largely ignoring the dynamic changes of gene expressions. Conversely, biological networks remain relatively stable irrespective of time and condition. Here, we introduce an individual-specific gene interaction perturbation network-based (GIN) approach and identify six GIN subtypes (GINS1-6) with...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 36345721
DOI: 10.7554/eLife.81114
PMCID: PMC9643007

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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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