Minimum redundancy maximum relevance feature selection approach for temporal gene expression data

BACKGROUND: Feature selection, aiming to identify a subset of features among a possibly large set of features that are relevant for predicting a response, is an important preprocessing step in machine learning. In gene expression studies this is not a trivial task for several reasons, including pote...

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Detalles Bibliográficos
Autores principales: Radovic, Milos, Ghalwash, Mohamed, Filipovic, Nenad, Obradovic, Zoran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5209828/
https://www.ncbi.nlm.nih.gov/pubmed/28049413
http://dx.doi.org/10.1186/s12859-016-1423-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5209828/
https://www.ncbi.nlm.nih.gov/pubmed/28049413
http://dx.doi.org/10.1186/s12859-016-1423-9

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