Feature Genes Selection Using Supervised Locally Linear Embedding and Correlation Coefficient for Microarray Classification

The selection of feature genes with high recognition ability from the gene expression profiles has gained great significance in biology. However, most of the existing methods have a high time complexity and poor classification performance. Motivated by this, an effective feature selection method, ca...

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Detalles Bibliográficos
Autores principales: Xu, Jiucheng, Mu, Huiyu, Wang, Yun, Huang, Fangzhou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5831962/
https://www.ncbi.nlm.nih.gov/pubmed/29666661
http://dx.doi.org/10.1155/2018/5490513

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5831962/
https://www.ncbi.nlm.nih.gov/pubmed/29666661
http://dx.doi.org/10.1155/2018/5490513

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