Oral cancer prediction using gene expression profiling and machine learning

Oral premalignant lesion (OPL) patients have a high risk of developing oral cancer. In this study we investigate using machine learning techniques with gene expression profiling to predict the possibility of oral cancer development in OPL patients. Four classification techniques were used: support v...

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Main Authors: K. Shams, Wafaa, Htike@Muhammad Yusof, Zaw Zaw
Format: Article
Language:English
English
Published: Research India Publications 2017
Subjects:
Online Access:http://irep.iium.edu.my/60438/
http://irep.iium.edu.my/60438/1/23_58091-IJAER%20ok%204893-4898.pdf
http://irep.iium.edu.my/60438/7/60438-Oral%20cancer%20prediction%20using%20gene%20expression%20profiling_SCOPUS.pdf
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author K. Shams, Wafaa
Htike@Muhammad Yusof, Zaw Zaw
author_facet K. Shams, Wafaa
Htike@Muhammad Yusof, Zaw Zaw
author_sort K. Shams, Wafaa
building IIUM Repository
collection Online Access
description Oral premalignant lesion (OPL) patients have a high risk of developing oral cancer. In this study we investigate using machine learning techniques with gene expression profiling to predict the possibility of oral cancer development in OPL patients. Four classification techniques were used: support vector machine (SVM), Regularized Least Squares (RLS), multi-layer perceptron (MLP) with back propagation and deep neural network (DNN). Fisher discriminate analysis was used to select relevant features from the gene expression array. The results show high accuracy (96%) using DNN and 94% accuracy using SVM and MLP with one sample cross validation. Furthermore, we achieved the same results using 10-fold cross validation.
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institution International Islamic University Malaysia
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language English
English
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spelling iium-604382017-12-27T07:13:32Z http://irep.iium.edu.my/60438/ Oral cancer prediction using gene expression profiling and machine learning K. Shams, Wafaa Htike@Muhammad Yusof, Zaw Zaw T Technology (General) Oral premalignant lesion (OPL) patients have a high risk of developing oral cancer. In this study we investigate using machine learning techniques with gene expression profiling to predict the possibility of oral cancer development in OPL patients. Four classification techniques were used: support vector machine (SVM), Regularized Least Squares (RLS), multi-layer perceptron (MLP) with back propagation and deep neural network (DNN). Fisher discriminate analysis was used to select relevant features from the gene expression array. The results show high accuracy (96%) using DNN and 94% accuracy using SVM and MLP with one sample cross validation. Furthermore, we achieved the same results using 10-fold cross validation. Research India Publications 2017-08 Article PeerReviewed application/pdf en http://irep.iium.edu.my/60438/1/23_58091-IJAER%20ok%204893-4898.pdf application/pdf en http://irep.iium.edu.my/60438/7/60438-Oral%20cancer%20prediction%20using%20gene%20expression%20profiling_SCOPUS.pdf K. Shams, Wafaa and Htike@Muhammad Yusof, Zaw Zaw (2017) Oral cancer prediction using gene expression profiling and machine learning. International Journal of Applied Engineering Research, 12 (15). pp. 4893-4898. ISSN 0973-4562 E-ISSN 0973-9769 https://www.ripublication.com/ijaer17/ijaerv12n15_%20(23).pdf
spellingShingle T Technology (General)
K. Shams, Wafaa
Htike@Muhammad Yusof, Zaw Zaw
Oral cancer prediction using gene expression profiling and machine learning
title Oral cancer prediction using gene expression profiling and machine learning
title_full Oral cancer prediction using gene expression profiling and machine learning
title_fullStr Oral cancer prediction using gene expression profiling and machine learning
title_full_unstemmed Oral cancer prediction using gene expression profiling and machine learning
title_short Oral cancer prediction using gene expression profiling and machine learning
title_sort oral cancer prediction using gene expression profiling and machine learning
topic T Technology (General)
url http://irep.iium.edu.my/60438/
http://irep.iium.edu.my/60438/
http://irep.iium.edu.my/60438/1/23_58091-IJAER%20ok%204893-4898.pdf
http://irep.iium.edu.my/60438/7/60438-Oral%20cancer%20prediction%20using%20gene%20expression%20profiling_SCOPUS.pdf