An effective pre-processing phase for gene expression classification

Choon, Sen Seah and Shahreen, Kasim and Mohd Farhan, Md Fudzee and Mohd Saberi, Mohamad and Rd Rohmat, Saedudin and Rohayanti, Hassan and Mohd Arfian, Ismail and Rodziah, Atan (2018) An effective pre-processing phase for gene expression classification. Indonesian Journal of Electrical Engineering and Computer Science, 11 (3). pp. 1223-1227. ISSN 2502-4752. (Published)

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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.

Item Type: Article
Additional Information: Indexed by Scopus
Uncontrolled Keywords: Bioconductor; Data pre-processing; Gene expression dataset; Significant directed random walk
Subjects: Q Science > QA Mathematics > QA76 Computer software
Faculty/Division: Faculty of Computer System And Software Engineering
Depositing User: Mrs Norsaini Abdul Samat
Date Deposited: 07 Nov 2022 09:10
Last Modified: 07 Nov 2022 09:10
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