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Published in 2017 at "IEEE/ACM Transactions on Computational Biology and Bioinformatics"
DOI: 10.1109/tcbb.2015.2465906
Abstract: Traditional gene selection methods for microarray data mainly considered the features’ relevance by evaluating their utility for achieving accurate predication or exploiting data variance and distribution, and the selected genes were usually poorly explicable. To…
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Keywords:
gene selection;
information;
class sensitivity;
gene class ... See more keywords