Title
A Nested Genetic Algorithm for feature selection in high-dimensional cancer Microarray datasets.
Abstract
•Feature selection over high-dimensional colon cancer Microarray Datasets.•Features selected from both Gene Expression and DNA-Methylation Microarray datasets.•Resultant six biomarker genes for colon cancer validated using Enrichment Analysis.•Biomarker genes validated on independent datasets with 99.9% classification accuracy.
Year
DOI
Venue
2019
10.1016/j.eswa.2018.12.022
Expert Systems with Applications
Keywords
Field
DocType
Microarray gene expression,DNA Methylation,Colon cancer,Lung cancer,Machine learning,Genetic algorithm,Feature selection,Support Vector Machine
Data mining,Microarray,Feature selection,Pattern recognition,Computer science,DNA methylation,Curse of dimensionality,Preprocessor,Artificial intelligence,Cross-validation,Genetic algorithm,Cancer
Journal
Volume
ISSN
Citations 
121
0957-4174
11
PageRank 
References 
Authors
0.45
20
4
Name
Order
Citations
PageRank
Sabah Sayed1110.45
Mohammad Nassef2143.31
Amr Badr36817.50
Ibrahim Farag4207.01