Cancer Classification of Gene Expression Data using Machine Learning Models

被引：0
|
作者：
De Guia, Joseph M. [1 ]
Devaraj, Madhavi [1 ]
Vea, Larry A. [1 ]
机构：
[1] Mapua Univ, Sch IT, 658 Muralla St, Manila 1002, Philippines
来源：
2018 IEEE 10TH INTERNATIONAL CONFERENCE ON HUMANOID, NANOTECHNOLOGY, INFORMATION TECHNOLOGY, COMMUNICATION AND CONTROL, ENVIRONMENT AND MANAGEMENT (HNICEM) | 2018年
关键词：
cancer genomics; microarray; gene expression; cancer classification; supervised classification; machine learning; TUMOR;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The World Cancer Report described cancer as a global problem because it affects the whole greater population. It was projected by that cancer incidence will increase to 20 million new cases by 2025 [2]. There are several known published literatures on cancer classification techniques with varying models and implementations. This paper presents the existing technology of microarray gene expression and classify the cancer genes using machine learning algorithms. A logical design was presented using supervised classification and gene selection model. This model can improve the process and method of identifying and classifying cancer disease using gene expression data.
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页数：6
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