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Mohd Arfian Ismail
Universiti Teknologi Malaysia

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An Effective Pre-Processing Phase for Gene Expression Classification Choon Sen Seah; Shahreen Kasim; Mohd Farhan Md Fudzee; Mohd Saberi Mohamad; Rd Rohmat Saedudin; Rohayanti Hassan; Mohd Arfian Ismail; Rodziah Atan
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 3: September 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v11.i3.pp1223-1227

Abstract

A raw dataset prepared by researchers comes with a lot of information. Whether the information is usefull or not, completely depends on the requirement and purposes. In machine learning, data pre-processing is the very initial stage. It is a must to make sure the dataset is totally suitable for the requirement. In significant directed random walk (sDRW), there are three steps in data pre-processing stage. First, we remove unwanted attributes, missing value and proper arrangement, followed by normalization of the expression value and lastly, filtering method is applied. The first two steps are completed by Bioconductor package while the last step is works in sDRW.
Co-Authors Choon Sen Seah Mohd Farhan Md Fudzee Mohd Saberi Mohamad Rd. Rohmat Saedudin Rodziah Atan Rohayanti Hassan Shahreen Kasim