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- Title
Topologically significant directed random walk with applied walker network in cancer environment.
- Authors
Choon Sen Seah; Kasim, Shahreen; Saedudin, Rd Rohmat; Md Fudzee, Mohd Farhan; Mohamad, Mohd Saberi; Hassan, Rohayanti; Ismail, Mohd Arfian
- Abstract
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.
- Subjects
RANDOM walks; GENE expression; TUMOR classification; CANCER; PROGNOSIS
- Publication
Pakistan Journal of Pharmaceutical Sciences, 2019, Vol 32, p1395
- ISSN
1011-601X
- Publication type
Article