Identifying cancer gene subtypes from gene expression by co-clustering algorithm and support vector machine
Cancer subtype information is significant to understand tumour heterogeneity. Present methods to find cancer subtypes have focused on utilizing traditional clustering algorithms such as hierarchical clustering. Since most of these methods depend on high dimensional data, the drawback is to divide th...
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| Format: | Thesis |
| Language: | English |
| Published: |
2021
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| Online Access: | http://eprints.utm.my/id/eprint/96282/1/LogenthiranMachapPSC2021.pdf.pdf http://eprints.utm.my/id/eprint/96282/ http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:143093 |
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