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...

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Detalles Bibliográficos
Autores principales: Li, Zejun, Liao, Bo, Cai, Lijun, Chen, Min, Liu, Wenhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
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

Internet

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

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