Multi-scale supervised clustering-based feature selection for tumor classification and identification of biomarkers and targets on genomic data

BACKGROUND: The small number of samples and the curse of dimensionality hamper the better application of deep learning techniques for disease classification. Additionally, the performance of clustering-based feature selection algorithms is still far from being satisfactory due to their limitation in...

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Detalles Bibliográficos
Autores principales: Xu, Da, Zhang, Jialin, Xu, Hanxiao, Zhang, Yusen, Chen, Wei, Gao, Rui, Dehmer, Matthias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7510277/
https://www.ncbi.nlm.nih.gov/pubmed/32962626
http://dx.doi.org/10.1186/s12864-020-07038-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7510277/
https://www.ncbi.nlm.nih.gov/pubmed/32962626
http://dx.doi.org/10.1186/s12864-020-07038-3

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