Glioma Brain Cancer Classification Using Microarrays and Support Vector Machines

dc.contributor.author	Reyes, Edward Jedwin
dc.date.accessioned	2019-08-17T17:37:13Z
dc.date.available	2019-08-17T17:37:13Z
dc.date.issued	2018-06
dc.identifier.uri	http://dspace.cas.upm.edu.ph:8080/xmlui/handle/123456789/464
dc.description.abstract	Brain Cancer is a rare type of cancer that is classi ed based on their cell origin. Recent advancements in bioinformatics analysis enable us to develop molecularly defi ned classifi cations within tumors such as using microarrays. This study aims to construct a tool that would predict the existence of a glioma brain cancer using gene expression data, preprocess it, and classify its subtype using Support Vector Machines. This system would help in early detection of the disease and contribute to earlier treatment of the patient.	en_US
dc.language.iso	en	en_US
dc.subject	glioma brain cancer	en_US
dc.subject	glioma brain cancer classification	en_US
dc.subject	microarrays	en_US
dc.subject	gene expression data	en_US
dc.subject	data normalization	en_US
dc.subject	preprocessing	en_US
dc.subject	support vector machines	en_US
dc.title	Glioma Brain Cancer Classification Using Microarrays and Support Vector Machines	en_US
dc.type	Thesis	en_US