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Molecular cancer classification using a meta-sample-based regularized robust coding method
MOTIVATION: Previous studies have demonstrated that machine learning based molecular cancer classification using gene expression profiling (GEP) data is promising for the clinic diagnosis and treatment of cancer. Novel classification methods with high efficiency and prediction accuracy are still nee...
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| Pubblicato in: | BMC Bioinformatics |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
BioMed Central
2014
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4271561/ https://ncbi.nlm.nih.gov/pubmed/25473795 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-15-S15-S2 |
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