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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...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | BMC Bioinformatics |
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| Κύριοι συγγραφείς: | , , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
BioMed Central
2017
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| Θέματα: | |
| Διαθέσιμο Online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5209828/ https://ncbi.nlm.nih.gov/pubmed/28049413 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-016-1423-9 |
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