Improving classification accuracy of cancer types using parallel hybrid feature selection on microarray gene expression data

Title
Improving classification accuracy of cancer types using parallel hybrid feature selection on microarray gene expression data
Authors
Keywords
Parallelized hybrid feature selection, Correlation feature subset selection, Rank-based methods, Parallel classification, Spark, DistributedWekaSpark
Journal
Genes & Genomics
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2019-08-19
DOI
10.1007/s13258-019-00859-x

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