Wird geladen...
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...
Gespeichert in:
| Veröffentlicht in: | BMC Bioinformatics |
|---|---|
| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
BioMed Central
2017
|
| Schlagworte: | |
| Online Zugang: | 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 |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|