Unsupervised feature selection algorithm for multiclass cancer classification of gene expression RNA-Seq data

Pilar García-Díaz; Isabel Sánchez Berriel; Juan Antonio Martinez-Rojas; Ana M. Díez‐Pascual

doi:10.1016/j.ygeno.2019.11.004

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Unsupervised feature selection algorithm for multiclass cancer classification of gene expression RNA-Seq data

Pilar García-Díaz Isabel Sánchez Berriel Juan Antonio Martinez-Rojas Ana M. Díez‐Pascual

Year: 2019 Journal: Genomics Vol: 112 (2)Pages: 1916-1925 Publisher: Elsevier BV

DOI: 10.1016/j.ygeno.2019.11.004

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Keywords:

Feature selection Gene Biology RNA-Seq Selection (genetic algorithm) Algorithm Feature (linguistics) Pattern recognition (psychology) Computer science Artificial intelligence Gene expression Genetics

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Machine Learning and ELM

Physical Sciences → Computer Science → Artificial Intelligence

MicroRNA in disease regulation

Life Sciences → Biochemistry, Genetics and Molecular Biology → Cancer Research

Domain Adaptation and Few-Shot Learning

Physical Sciences → Computer Science → Artificial Intelligence

Unsupervised feature selection algorithm for multiclass cancer classification of gene expression RNA-Seq data

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Citation History

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