Genetic algorithm-based feature selection with manifold learning for cancer classification using microarray data

BACKGROUND: Microarray data have been widely utilized for cancer classification. The main characteristic of microarray data is “large p and small n” in that data contain a small number of subjects but a large number of genes. It may affect the validity of the classification. Thus, there is a pressin...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Zixuan, Zhou, Yi, Takagi, Tatsuya, Song, Jiangning, Tian, Yu-Shi, Shibuya, Tetsuo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10082986/
https://www.ncbi.nlm.nih.gov/pubmed/37031189
http://dx.doi.org/10.1186/s12859-023-05267-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10082986/
https://www.ncbi.nlm.nih.gov/pubmed/37031189
http://dx.doi.org/10.1186/s12859-023-05267-3

Ejemplares similares