Topological analysis of gene expression arrays identifies high risk molecular subtypes in breast cancer

DOI10.1007/s00200-012-0166-8zbMath1388.92008OpenAlexW2153906117MaRDI QIDQ714647

Daniel DeWoskin, Hideaki Mizuno, Catherine Park, Nils A. Baas, Javier Arsuaga, Alexander A. Pankov

Publication date: 11 October 2012

Published in: Applicable Algebra in Engineering, Communication and Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00200-012-0166-8

zbMATH Keywords

gene expressioncomputational homologybreast cancer subtypes

Mathematics Subject Classification ID

Medical applications (general) (92C50) Biochemistry, molecular biology (92C40)

Related Items (2)

Simplicial Models and Topological Inference in Biological Systems ⋮ Approximating persistent homology in Euclidean space through collapses

Cites Work

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• Applications of computational homology to the analysis of treatment response in breast cancer patients
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• Homology and symmetry breaking in Rayleigh-Bénard convection: Experiments and simulations
• Application of homology theory to topology optimization of three-dimensional structures using genetic algorithm

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