Cargando…
A novel hybrid algorithm based on Harris Hawks for tumor feature gene selection
BACKGROUND: Gene expression data are often used to classify cancer genes. In such high-dimensional datasets, however, only a few feature genes are closely related to tumors. Therefore, it is important to accurately select a subset of feature genes with high contributions to cancer classification. ME...
Autores principales: | Liu, Junjian, Feng, Huicong, Tang, Yifan, Zhang, Lupeng, Qu, Chiwen, Zeng, Xiaomin, Peng, Xiaoning |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280456/ https://www.ncbi.nlm.nih.gov/pubmed/37346505 http://dx.doi.org/10.7717/peerj-cs.1229 |
Ejemplares similares
-
A new hybrid algorithm for three-stage gene selection based on whale optimization
por: Liu, Junjian, et al.
Publicado: (2023) -
Hierarchical Harris hawks optimizer for feature selection
por: Peng, Lemin, et al.
Publicado: (2023) -
Crisscross Harris Hawks Optimizer for Global Tasks and Feature Selection
por: Wang, Xin, et al.
Publicado: (2022) -
A hybrid feature selection algorithm and its application in bioinformatics
por: Wang, Yangyang, et al.
Publicado: (2022) -
A hybrid differential evolution based on gaining‑sharing knowledge algorithm and harris hawks optimization
por: Zhong, Xuxu, et al.
Publicado: (2021)