A Graph-Theoretic Approach for Identifying Non-Redundant and Relevant Gene Markers from Microarray Data Using Multiobjective Binary PSO

The purpose of feature selection is to identify the relevant and non-redundant features from a dataset. In this article, the feature selection problem is organized as a graph-theoretic problem where a feature-dissimilarity graph is shaped from the data matrix. The nodes represent features and the ed...

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Detalles Bibliográficos
Autores principales: Mandal, Monalisa, Mukhopadhyay, Anirban
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3953335/
https://www.ncbi.nlm.nih.gov/pubmed/24625895
http://dx.doi.org/10.1371/journal.pone.0090949

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3953335/
https://www.ncbi.nlm.nih.gov/pubmed/24625895
http://dx.doi.org/10.1371/journal.pone.0090949

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