Gene selection for high dimensional data using k-means clustering algorithm and statistical approach
Microarray technology can measure thousands of genes which are useful for biologist to study and classify the cancer cells.However, this high dimensional data consists of large number of genes to be examined in regard of small samples size. Thus, selection of relevant genes is a challenging issue in...
保存先:
| 主要な著者: | , , |
|---|---|
| フォーマット: | Conference or Workshop Item |
| 言語: | English |
| 出版事項: |
2014
|
| 主題: | |
| オンライン･アクセス: | http://repo.uum.edu.my/16491/1/IEEE1.pdf http://repo.uum.edu.my/16491/ http://doi.org/10.1109/ICCST.2014.7045188 |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|
このレコードへの初めてのコメントを付けませんか!