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Semi-Supervised Maximum Discriminative Local Margin for Gene Selection
In the present study, we introduce a novel semi-supervised method called the semi-supervised maximum discriminative local margin (semiMM) for gene selection in expression data. The semiMM is a “filter” approach that exploits local structure, variance, and mutual information. We first constructed a l...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5988834/ https://www.ncbi.nlm.nih.gov/pubmed/29872069 http://dx.doi.org/10.1038/s41598-018-26806-6 |