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An enhanced topologically significant directed random walk in cancer classification using gene expression datasets
Joint Authors
Seah, Choon Sen
Qasim, Shahrin
Fudzee, Muhammad Farhan Md
Ping, Jeffrey Mark Law Tze
Muhammad, Muhammad Saberi
Sad al-Din, Rd Ruhmat
Ismail, Muhammad Arfian
Source
Saudi Journal of Biological Sciences
Issue
Vol. 24, Issue 8 (31 Dec. 2017), pp.1828-1841, 14 p.
Publisher
Publication Date
2017-12-31
Country of Publication
Saudi Arabia
No. of Pages
14
Main Subjects
Natural & Life Sciences (Multidisciplinary)
Abstract EN
Microarray technology has become one of the elementary tools for researchers to study the genome of organisms.
As the complexity and heterogeneity of cancer is being increasingly appreciated through genomic analysis, cancerous classification is an emerging important trend.
Significant directed random walk is proposed as one of the cancerous classification approach which have higher sensitivity of risk gene prediction and higher accuracy of cancer classification.
In this paper, the methodology and material used for the experiment are presented.
Tuning parameter selection method and weight as parameter are applied in proposed approach.
Gene expression dataset is used as the input datasets while pathway dataset is used to build a directed graph, as reference datasets, to complete the bias process in random walk approach.
In addition, we demonstrate that our approach can improve sensitive predictions with higher accuracy and biological meaningful classification result.
Comparison result takes place between significant directed random walk and directed random walk to show the improvement in term of sensitivity of prediction and accuracy of cancer classification.
American Psychological Association (APA)
Seah, Choon Sen& Qasim, Shahrin& Fudzee, Muhammad Farhan Md& Ping, Jeffrey Mark Law Tze& Muhammad, Muhammad Saberi& Sad al-Din, Rd Ruhmat…[et al.]. 2017. An enhanced topologically significant directed random walk in cancer classification using gene expression datasets. Saudi Journal of Biological Sciences،Vol. 24, no. 8, pp.1828-1841.
https://search.emarefa.net/detail/BIM-780581
Modern Language Association (MLA)
Fudzee, Muhammad Farhan Md…[et al.]. An enhanced topologically significant directed random walk in cancer classification using gene expression datasets. Saudi Journal of Biological Sciences Vol. 24, no. 8 (Dec. 2017), pp.1828-1841.
https://search.emarefa.net/detail/BIM-780581
American Medical Association (AMA)
Seah, Choon Sen& Qasim, Shahrin& Fudzee, Muhammad Farhan Md& Ping, Jeffrey Mark Law Tze& Muhammad, Muhammad Saberi& Sad al-Din, Rd Ruhmat…[et al.]. An enhanced topologically significant directed random walk in cancer classification using gene expression datasets. Saudi Journal of Biological Sciences. 2017. Vol. 24, no. 8, pp.1828-1841.
https://search.emarefa.net/detail/BIM-780581
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 184
Record ID
BIM-780581