Classification of microarray using MapReduce based proximal support vector machine classifier

作者：

Highlights：

• Feature selection and classification of microarray data using Hadoop framework.

• MapReduce based statistical tests are proposed for feature selection (FS).

• MapReduce based PSVM (mrPSVM) classifier is proposed for classification of microarray.

• Comparative analysis of results is performed with FS methods in permutation with mrPSVM.

摘要

•Feature selection and classification of microarray data using Hadoop framework.•MapReduce based statistical tests are proposed for feature selection (FS).•MapReduce based PSVM (mrPSVM) classifier is proposed for classification of microarray.•Comparative analysis of results is performed with FS methods in permutation with mrPSVM.

论文关键词：Big data,Classification,Gene selection,Hadoop,Proximal support vector machine,MapReduce,Microarray,Statistical test

论文评审过程：Received 9 June 2015, Revised 28 August 2015, Accepted 6 September 2015, Available online 14 September 2015, Version of Record 19 October 2015.

论文官网地址：https://doi.org/10.1016/j.knosys.2015.09.005