Deep gene selection method to select genes from microarray datasets for cancer classification

BACKGROUND: Microarray datasets consist of complex and high-dimensional samples and genes, and generally the number of samples is much smaller than the number of genes. Due to this data imbalance, gene selection is a demanding task for microarray expression data analysis. RESULTS: The gene set selec...

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Detalles Bibliográficos
Autores principales: Alanni, Russul, Hou, Jingyu, Azzawi, Hasseeb, Xiang, Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6880643/
https://www.ncbi.nlm.nih.gov/pubmed/31775613
http://dx.doi.org/10.1186/s12859-019-3161-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6880643/
https://www.ncbi.nlm.nih.gov/pubmed/31775613
http://dx.doi.org/10.1186/s12859-019-3161-2

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