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...
Saved in:
主要作者: | Machap, Logenthiran |
---|---|
格式: | Thesis |
语言: | English |
出版: |
2021
|
主题: | |
在线阅读: | http://eprints.utm.my/id/eprint/96282/1/LogenthiranMachapPSC2021.pdf.pdf |
标签: |
添加标签
没有标签, 成为第一个标记此记录!
|
相似书籍
-
A hybrid genetic algorithm and support vector machine classifier for feature selection and classification of gene expression
由: Tan Ah Chik @ Mohamad, Mohd. Saberi
出版: (2005) -
Grey relational analysis feature selection for cancer classification using support vector machine
由: Sy. Ahmad Ubaidillah, Sharifah Hafizah
出版: (2014) -
Email categorization using support vector machine
由: Mohd. Daud, Mariah
出版: (2004) -
Gene selection and classification in autism gene expression data
由: Al-Jaf, Shilan Sameen Hameed
出版: (2017) -
Identification of skin disease using Gray Level Co-occurrence Matrix and Support Vector Machine / Muhammad Amsyar Omar
由: Omar, Muhammad Amsyar
出版: (2022)