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A hybrid gene selection algorithm based on interaction information for microarray-based cancer classification

We address gene selection and machine learning methods for cancer classification using microarray gene expression data. Due to the high dimensionality of microarray data, traditional gene selection algorithms are filter-based, focusing on intrinsic properties of the data such as distance, dependency...

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Detalles Bibliográficos
Autor principal: Nakariyakul, Songyot
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6377117/
https://www.ncbi.nlm.nih.gov/pubmed/30768654
http://dx.doi.org/10.1371/journal.pone.0212333