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

doi:10.11591/ijeecs.v11.i3.pp1223-1227

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

Research output: Contribution to journal › Article › peer-review

7 Citations (Scopus)

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.

Original language	English
Pages (from-to)	1223-1227
Number of pages	5
Journal	Indonesian Journal of Electrical Engineering and Computer Science
Volume	11
Issue number	3
DOIs	https://doi.org/10.11591/ijeecs.v11.i3.pp1223-1227
Publication status	Published - 2018
Externally published	Yes

Keywords

Bioconductor
Data pre-processing
Gene expression dataset
Significant directed random walk

ASJC Scopus subject areas

Signal Processing
Information Systems
Hardware and Architecture
Computer Networks and Communications
Control and Optimization
Electrical and Electronic Engineering

Access to Document

10.11591/ijeecs.v11.i3.pp1223-1227

Cite this

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AU - Kasim, Shahreen

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AU - Mohamad, Mohd Saberi

AU - Saedudin, Rd Rohmat

AU - Hassan, Rohayanti

AU - Ismail, Mohd Arfian

AU - Atan, Rodziah

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An effective pre-processing phase for gene expression classification

Abstract

Keywords

ASJC Scopus subject areas

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