[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.7465/jkdi.2015.26.2.475

Cross platform classification of microarrays by rank comparison

Lee, Sunho (Division of Mathematics and Statistics, Sejong University)

Publication Information

Journal of the Korean Data and Information Science Society / v.26, no.2, 2015 , pp. 475-486 More about this Journal

Abstract

Mining the microarray data accumulated in the public data repositories can save experimental cost and time and provide valuable biomedical information. Big data analysis pooling multiple data sets increases statistical power, improves the reliability of the results, and reduces the specific bias of the individual study. However, integrating several data sets from different studies is needed to deal with many problems. In this study, I limited the focus to the cross platform classification that the platform of a testing sample is different from the platform of a training set, and suggested a simple classification method based on rank. This method is compared with the diagonal linear discriminant analysis, k nearest neighbor method and support vector machine using the cross platform real example data sets of two cancers.

Keywords

Classification; cross platform; k nearest neighbor method; microarray; support vector machine;

Citations & Related Records

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