Colon cancer classification using microarray data

A thesis presented on the classification of cancerous and normal tissue samples using microarray data. In treating cancer time is of the essence and early detection can dramatically increase the chances of survival. Imaging techniques, which are the prevalent method of detection and diagnosis, are o...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Tariq Khan, Saima (author)
منشور في: 2010
الموضوعات:
الوصول للمادة أونلاين:http://bspace.buid.ac.ae/handle/1234/48
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author Tariq Khan, Saima
author_facet Tariq Khan, Saima
author_role author
dc.creator.none.fl_str_mv Tariq Khan, Saima
dc.date.none.fl_str_mv 2010-03
2013-02-28T16:32:53Z
2013-02-28T16:32:53Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv 20040015
http://bspace.buid.ac.ae/handle/1234/48
dc.language.none.fl_str_mv en
dc.publisher.none.fl_str_mv The British University in Dubai (BUiD)
dc.subject.none.fl_str_mv cancerous
microarray data
colon tissue
machine learning
classification
feature reduction
Principal Component Analysis (PCA)
neural networks
naive bayes
dc.title.none.fl_str_mv Colon cancer classification using microarray data
dc.type.none.fl_str_mv Dissertation
description A thesis presented on the classification of cancerous and normal tissue samples using microarray data. In treating cancer time is of the essence and early detection can dramatically increase the chances of survival. Imaging techniques, which are the prevalent method of detection and diagnosis, are only useful once the cancerous growth has become visible.However, if techniques that detect cancerous processes at a genetic level are utilized then the cancerous tissues could be identified, and the disease diagnosed much earlier, thus giving a far better prognosis.Therefore, the aim of this thesis is to evaluate the performance of a variety of different classification methods with a particular dataset containing genetic samples of both normal and cancerous biopsies of the colon tissue.A classifier will be recommended which is able to learn the patterns within the microarray data that best determines the classification of the samples.
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identifier_str_mv 20040015
language_invalid_str_mv en
network_acronym_str budr
network_name_str The British University in Dubai repository
oai_identifier_str oai:bspace.buid.ac.ae:1234/48
publishDate 2010
publisher.none.fl_str_mv The British University in Dubai (BUiD)
repository.mail.fl_str_mv
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spelling Colon cancer classification using microarray dataTariq Khan, Saimacancerousmicroarray datacolon tissuemachine learningclassificationfeature reductionPrincipal Component Analysis (PCA)neural networksnaive bayesA thesis presented on the classification of cancerous and normal tissue samples using microarray data. In treating cancer time is of the essence and early detection can dramatically increase the chances of survival. Imaging techniques, which are the prevalent method of detection and diagnosis, are only useful once the cancerous growth has become visible.However, if techniques that detect cancerous processes at a genetic level are utilized then the cancerous tissues could be identified, and the disease diagnosed much earlier, thus giving a far better prognosis.Therefore, the aim of this thesis is to evaluate the performance of a variety of different classification methods with a particular dataset containing genetic samples of both normal and cancerous biopsies of the colon tissue.A classifier will be recommended which is able to learn the patterns within the microarray data that best determines the classification of the samples.The British University in Dubai (BUiD)2013-02-28T16:32:53Z2013-02-28T16:32:53Z2010-03Dissertationapplication/pdf20040015http://bspace.buid.ac.ae/handle/1234/48enoai:bspace.buid.ac.ae:1234/482021-10-17T12:38:21Z
spellingShingle Colon cancer classification using microarray data
Tariq Khan, Saima
cancerous
microarray data
colon tissue
machine learning
classification
feature reduction
Principal Component Analysis (PCA)
neural networks
naive bayes
title Colon cancer classification using microarray data
title_full Colon cancer classification using microarray data
title_fullStr Colon cancer classification using microarray data
title_full_unstemmed Colon cancer classification using microarray data
title_short Colon cancer classification using microarray data
title_sort Colon cancer classification using microarray data
topic cancerous
microarray data
colon tissue
machine learning
classification
feature reduction
Principal Component Analysis (PCA)
neural networks
naive bayes
url http://bspace.buid.ac.ae/handle/1234/48