Clustering of time-course gene expression profiles using normal mixture models with autoregressive random effects
<p>Abstract</p> <p>Background</p> <p>Time-course gene expression data such as yeast cell cycle data may be periodically expressed. To cluster such data, currently used Fourier series approximations of periodic gene expressions have been found not to be sufficiently adequate to model the complexity o...
保存先:
| 主要な著者: | , , |
|---|---|
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BMC
2012-11-01
|
| シリーズ: | BMC Bioinformatics |
| 主題: | |
| オンライン･アクセス: | http://www.biomedcentral.com/1471-2105/13/300 |
| タグ: |
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!
|