Cloud computing-based parallel genetic algorithm for gene selection in cancer classification

Abstract

Cancer classification is one of the main steps during patient healing process. This fact enforces modern clinical researchers to use advanced bioinformatics methods for cancer classification. Cancer classification is usually performed using gene expression data gained in microarray experiment and advanced machine learning methods. Microarray experiment… (More)
DOI: 10.1007/s00521-016-2780-z

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Cite this paper

@article{Keco2016CloudCP, title={Cloud computing-based parallel genetic algorithm for gene selection in cancer classification}, author={Dino Keco and Abdulhamit Subasi and Jasmin Kevric}, journal={Neural Computing and Applications}, year={2016}, pages={1-10} }