Automated Detection of Cancer Associated Genes Using a Combined Fuzzy-Rough-Set-Based F-Information and Water Swirl Algorithm of Human Gene Expression Data

This study describes a novel approach to reducing the challenges of highly nonlinear multiclass gene expression values for cancer diagnosis. To build a fruitful system for cancer diagnosis, in this study, we introduced two levels of gene selection such as filtering and embedding for selection of pot...

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Detalles Bibliográficos
Autores principales: Ganesh Kumar, Pugalendhi, Kavitha, Muthu Subash, Ahn, Byeong-Cheol
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5148587/
https://www.ncbi.nlm.nih.gov/pubmed/27936033
http://dx.doi.org/10.1371/journal.pone.0167504

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5148587/
https://www.ncbi.nlm.nih.gov/pubmed/27936033
http://dx.doi.org/10.1371/journal.pone.0167504

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