A new optimal gene selection approach for cancer classification using enhanced Jaya-based forest optimization algorithm
Sign Up to like & getrecommendations! Published in 2019 at "Neural Computing and Applications"
DOI: 10.1007/s00521-019-04355-x
Abstract: In microarray experiments, the sample size is considerably smaller than that of the feature size, thereby imposing the curse of dimensionality problem. To resolve this issue, evolutionary algorithms are often utilized. In this paper, a… read more here.
Keywords: classification; forest optimization; microarray; selection ... See more keywords