Cargando…
A Hybrid Gene Selection Method Based on ReliefF and Ant Colony Optimization Algorithm for Tumor Classification
For the DNA microarray datasets, tumor classification based on gene expression profiles has drawn great attention, and gene selection plays a significant role in improving the classification performance of microarray data. In this study, an effective hybrid gene selection method based on ReliefF and...
Autores principales: | Sun, Lin, Kong, Xianglin, Xu, Jiucheng, Xue, Zhan’ao, Zhai, Ruibing, Zhang, Shiguang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6586811/ https://www.ncbi.nlm.nih.gov/pubmed/31222027 http://dx.doi.org/10.1038/s41598-019-45223-x |
Ejemplares similares
-
Speech Emotion Recognition Based on Modified ReliefF
por: Li, Guo-Min, et al.
Publicado: (2022) -
Gene selection algorithm by combining reliefF and mRMR
por: Zhang, Yi, et al.
Publicado: (2008) -
An Efficient Feature Selection Algorithm for Gene Families Using NMF and ReliefF
por: Liu, Kai, et al.
Publicado: (2023) -
ReliefF-Based EEG Sensor Selection Methods for Emotion Recognition
por: Zhang, Jianhai, et al.
Publicado: (2016) -
Spatially Uniform ReliefF (SURF) for computationally-efficient filtering of gene-gene interactions
por: Greene, Casey S, et al.
Publicado: (2009)