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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2017
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| Materias: | |
| 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 |