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Topologically significant directed random walk with applied walker network in cancer environment

Choon, Sen Seah and Kasim, Shahreen and Saedudin, Rd. Rohmat and Md. Fudzee, Mohd. Farhan and Mohamad, Mohd. Saberi and Hassan, Rohayanti and Ismail, Mohd. Arfian (2019) Topologically significant directed random walk with applied walker network in cancer environment. Pakistan journal of pharmaceutical sciences, 32 (3 S). pp. 1395-1408. ISSN 1011-601X

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Numerous cancer studies have combined different datasets for the prognosis of patients. This study incorporated four networks for significant directed random walk (sDRW) to predict cancerous genes and risk pathways. The study investigated the feasibility of cancer prediction via different networks. In this study, multiple micro array data were analysed and used in the experiment. Six gene expression datasets were applied in four networks to study the effectiveness of the networks in sDRW in terms of cancer prediction. The experimental results showed that one of the proposed networks is outstanding compared to other networks. The network is then proposed to be implemented in sDRW as a walker network. This study provides a foundation for further studies and research on other networks. We hope these finding will improve the prognostic methods of cancer patients.

Item Type:Article
Uncontrolled Keywords:significant directed random walk, cancer classification, gene expression dataset, walker network
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
ID Code:88969
Deposited By: Yanti Mohd Shah
Deposited On:26 Jan 2021 16:36
Last Modified:26 Jan 2021 16:36

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