A hybrid feature selection algorithm for gene expression data classification

@article{Lu2017AHF,
  title={A hybrid feature selection algorithm for gene expression data classification},
  author={Huijuan Lu and Junying Chen and Ke Yan and Qun Jin and Yu Xue and Zhigang Gao},
  journal={Neurocomputing},
  year={2017},
  volume={256},
  pages={56-62}
}
Highly Cited
This paper has 25 citations. REVIEW CITATIONS

From This Paper

Topics from this paper.

Citations

Publications citing this paper.
Showing 1-10 of 13 extracted citations

An approach based on resampling and feature selection to improve the classification of microarray data

2018 6th Iranian Joint Congress on Fuzzy and Intelligent Systems (CFIS) • 2018
View 1 Excerpt

Effective Cancer Classification based on Gene Expression Data using Multidimensional Mutual Information and ELM

2018 IEEE 7th Data Driven Control and Learning Systems Conference (DDCLS) • 2018
View 1 Excerpt

Microarray Classification and Gene Selection with FS-NEAT

2018 IEEE Congress on Evolutionary Computation (CEC) • 2018
View 1 Excerpt

Similar Papers

Loading similar papers…