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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Detalles Bibliográficos
Autores principales: Glaab, Enrico, Bacardit, Jaume, Garibaldi, Jonathan M., Krasnogor, Natalio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3394775/
https://www.ncbi.nlm.nih.gov/pubmed/22808075
http://dx.doi.org/10.1371/journal.pone.0039932

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3394775/
https://www.ncbi.nlm.nih.gov/pubmed/22808075
http://dx.doi.org/10.1371/journal.pone.0039932

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