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Article

Integration of Network Biology and Imaging to Study Cancer Phenotypes and Responses.

IEEE/ACM transactions on computational biology and bioinformatics - 1 Jan 2000

Tian Ye, Wang Sean S, Zhang Zhen, Rodriguez Olga C, Petricoin Emanuel, Shih Ie-Ming, Chan Daniel, Avantaggiati Maria, Yu Guoqiang, Ye Shaozhen, Clarke Robert, Wang Chao, Zhang Bai, Wang Yue, Albanese Chris

Abstract excerpt

Ever growing "omics" data and continuously accumulated biological knowledge provide an unprecedented opportunity to identify molecular biomarkers and their interactions that are responsible for cancer phenotypes that can be accurately defined by clinical measurements such as in vivo imaging. Since signaling or regulatory networks are dynamic and context-specific, systematic efforts to characterize such structural...

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PMID: 25750594
DOI: 10.1109/TCBB.2014.2338304
PMCID: PMC4348060

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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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