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

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.

Keywords


data pre-processing; gene expression dataset; Bioconductor; significant directed random walk

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DOI: http://doi.org/10.11591/ijeecs.v11.i3.pp1223-1227

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Indonesian Journal of Electrical Engineering and Computer Science (IJEECS)
p-ISSN: 2502-4752, e-ISSN: 2502-4760
This journal is published by the Institute of Advanced Engineering and Science (IAES) in collaboration with Intelektual Pustaka Media Utama (IPMU).

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