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Learning a Structural and Functional Representation for Gene Expressions: To Systematically Dissect Complex Cancer Phenotypes.

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

Wang Yanbo, Liu Quan, Huang Shan, Yuan Bo

Abstract excerpt

Cancer is a heterogeneous disease, thus one of the central problems is how to dissect the resulting complex phenotypes in terms of their biological building blocks. Computationally, this is to represent and interpret high dimensional observations through a structural and conceptual abstraction into the most influential determinants underlying the problem. The working hypothesis of this report is to consider gene...

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PMID: 28489545
DOI: 10.1109/TCBB.2017.2702161

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

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