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Using Rule-Based Machine Learning for Candidate Disease Gene Prioritization and Sample Classification of Cancer Gene Expression Data

Microarray data analysis has been shown to provide an effective tool for studying cancer and genetic diseases. Although classical machine learning techniques have successfully been applied to find informative genes and to predict class labels for new samples, common restrictions of microarray analys...

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Detalhes bibliográficos
Main Authors: Glaab, Enrico, Bacardit, Jaume, Garibaldi, Jonathan M., Krasnogor, Natalio
Formato: Artigo
Idioma:Inglês
Publicado em: Public Library of Science 2012
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3394775/
https://ncbi.nlm.nih.gov/pubmed/22808075
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0039932
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