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...
محفوظ في:
| المؤلف الرئيسي: | |
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| منشور في: |
2010
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| الموضوعات: | |
| الوصول للمادة أونلاين: | http://bspace.buid.ac.ae/handle/1234/48 |
| الوسوم: |
إضافة وسم
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| _version_ | 1862980612789370880 |
|---|---|
| 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. |
| id | budr_b88472024f021c10bd7bcfae22a3ad7e |
| 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 | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| 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 |