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A Novel Hybrid Dimension Reduction Technique for Undersized High Dimensional Gene Expression Data Sets Using Information Complexity Criterion for Cancer Classification

Gene expression data typically are large, complex, and highly noisy. Their dimension is high with several thousand genes (i.e., features) but with only a limited number of observations (i.e., samples). Although the classical principal component analysis (PCA) method is widely used as a first standar...

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Detalles Bibliográficos
Autores principales: Pamukçu, Esra, Bozdogan, Hamparsum, Çalık, Sinan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4370236/
https://www.ncbi.nlm.nih.gov/pubmed/25838836
http://dx.doi.org/10.1155/2015/370640