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Evaluation of heuristic-based MicroRNA marker selection techniques for classification of cancer

Understanding and recognizing genetic sequences is one step towards the treatment of the genetic disorders.Cancer, which is a major leading genetic disorder and responsible for around 13% of all deaths world-wide. Since the discovery of DNA, there has been a growing interest in genetic sequence reco...

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Main Authors: Razak, Eliza, Yusof, Faridah, Ahmad Raus, Raha
Format: Article
Language:English
Published: Engineering and Technology Publishing 2016
Subjects:
QA Mathematics
R Medicine (General)
Online Access:http://irep.iium.edu.my/55439/1/P%2087.pdf
http://irep.iium.edu.my/55439/
http://www.ijlbpr.com/uploadfile/2016/0905/20160905041600201.pdf
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spelling my.iium.irep.554392017-07-19T08:51:45Z http://irep.iium.edu.my/55439/ Evaluation of heuristic-based MicroRNA marker selection techniques for classification of cancer Razak, Eliza Yusof, Faridah Ahmad Raus, Raha QA Mathematics R Medicine (General) Understanding and recognizing genetic sequences is one step towards the treatment of the genetic disorders.Cancer, which is a major leading genetic disorder and responsible for around 13% of all deaths world-wide. Since the discovery of DNA, there has been a growing interest in genetic sequence recognition and gene expression analysis,inspired by its promising potential to cure a broad range of genetic disorders. Conventional biopsy examinations are highly invasive since tissue samples are required to be extracted from patients. Blood-based biomarkers have given optimism about the future cancer management. There have indeed been a number of studies to identify novel miRNAbased cancer biomarkers. However, the existing diagnosis techniques using miRNA suffer from low diagnosis accuracy,sensitivity, and specificity. The low diagnosis accuracy and sensitivity of the existing techniques stems from the fact that there is extremely low miRNA count in body fluids. In this paper, we employed three marker selection algorithms to select relevant miRNAs that are directly responsible for cancer classification. Among the three methods, gain ratio (GR) results are quite encouraging. Despite much noise contaminated in the datasets, the predictive framework able to identify miRNA markers responsible for classification of cancer. Engineering and Technology Publishing 2016-06 Article REM application/pdf en http://irep.iium.edu.my/55439/1/P%2087.pdf Razak, Eliza and Yusof, Faridah and Ahmad Raus, Raha (2016) Evaluation of heuristic-based MicroRNA marker selection techniques for classification of cancer. International Journal of Life Sciences Biotechnology and Pharma Research, 5(1), 18-21, DOI: 10.18178/ijlbpr.5.1.18-21, 5 (1). pp. 18-21. ISSN 2250-3137 http://www.ijlbpr.com/uploadfile/2016/0905/20160905041600201.pdf 10.18178/ijlbpr.5.1.18-21
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic QA Mathematics
R Medicine (General)
spellingShingle QA Mathematics
R Medicine (General)
Razak, Eliza
Yusof, Faridah
Ahmad Raus, Raha
Evaluation of heuristic-based MicroRNA marker selection techniques for classification of cancer
description Understanding and recognizing genetic sequences is one step towards the treatment of the genetic disorders.Cancer, which is a major leading genetic disorder and responsible for around 13% of all deaths world-wide. Since the discovery of DNA, there has been a growing interest in genetic sequence recognition and gene expression analysis,inspired by its promising potential to cure a broad range of genetic disorders. Conventional biopsy examinations are highly invasive since tissue samples are required to be extracted from patients. Blood-based biomarkers have given optimism about the future cancer management. There have indeed been a number of studies to identify novel miRNAbased cancer biomarkers. However, the existing diagnosis techniques using miRNA suffer from low diagnosis accuracy,sensitivity, and specificity. The low diagnosis accuracy and sensitivity of the existing techniques stems from the fact that there is extremely low miRNA count in body fluids. In this paper, we employed three marker selection algorithms to select relevant miRNAs that are directly responsible for cancer classification. Among the three methods, gain ratio (GR) results are quite encouraging. Despite much noise contaminated in the datasets, the predictive framework able to identify miRNA markers responsible for classification of cancer.
format Article
author Razak, Eliza
Yusof, Faridah
Ahmad Raus, Raha
author_facet Razak, Eliza
Yusof, Faridah
Ahmad Raus, Raha
author_sort Razak, Eliza
title Evaluation of heuristic-based MicroRNA marker selection techniques for classification of cancer
title_short Evaluation of heuristic-based MicroRNA marker selection techniques for classification of cancer
title_full Evaluation of heuristic-based MicroRNA marker selection techniques for classification of cancer
title_fullStr Evaluation of heuristic-based MicroRNA marker selection techniques for classification of cancer
title_full_unstemmed Evaluation of heuristic-based MicroRNA marker selection techniques for classification of cancer
title_sort evaluation of heuristic-based microrna marker selection techniques for classification of cancer
publisher Engineering and Technology Publishing
publishDate 2016
url http://irep.iium.edu.my/55439/1/P%2087.pdf
http://irep.iium.edu.my/55439/
http://www.ijlbpr.com/uploadfile/2016/0905/20160905041600201.pdf
_version_ 1643614740934557696
score 13.211869

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