טוען...
Sparse logistic regression with a L(1/2) penalty for gene selection in cancer classification
BACKGROUND: Microarray technology is widely used in cancer diagnosis. Successfully identifying gene biomarkers will significantly help to classify different cancer types and improve the prediction accuracy. The regularization approach is one of the effective methods for gene selection in microarray...
שמור ב:
| Main Authors: | , , , , , , |
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| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
BioMed Central
2013
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| נושאים: | |
| גישה מקוונת: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3718705/ https://ncbi.nlm.nih.gov/pubmed/23777239 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-14-198 |
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