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Topological analysis of gene expression arrays identifies high risk molecular subtypes in breast cancer.
Javier Arsuaga
Nils A. Baas
Daniel DeWoskin
Hideaki Mizuno
Aleksandr Pankov
Catherine Park
Published in:
Appl. Algebra Eng. Commun. Comput. (2012)
Keyphrases
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breast cancer
high risk
analysis of gene expression
gene expression
microarray
microarray data
high throughput
risk factors
logistic regression
gene expression data
prostate cancer
cancer patients
cancer classification
machine learning
random forest
gene selection