Improving Classification of Cancer and Mining Biomarkers from Gene Expression Profiles Using Hybrid Optimization Algorithms and Fuzzy Support Vector Machine

BACKGROUND: Gene expression data are characteristically high dimensional with a small sample size in contrast to the feature size and variability inherent in biological processes that contribute to difficulties in analysis. Selection of highly discriminative features decreases the computational cost...

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Detalles Bibliográficos
Autores principales: Moteghaed, Niloofar Yousefi, Maghooli, Keivan, Garshasbi, Masoud
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2018
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5840891/
https://www.ncbi.nlm.nih.gov/pubmed/29535919

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5840891/
https://www.ncbi.nlm.nih.gov/pubmed/29535919

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