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Article

Semi-Supervised Maximum Discriminative Local Margin for Gene Selection.

Scientific reports - 5 Jun 2018

Li Zejun, Liao Bo, Cai Lijun, Chen Min, Liu Wenhua

Abstract excerpt

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 local nearest neighbour graph and divided this information into within-class and between-class local nearest...

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Identifiers

PMID: 29872069
DOI: 10.1038/s41598-018-26806-6
PMCID: PMC5988834

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