ロード中...
Using Generalized Procrustes Analysis (GPA) for normalization of cDNA microarray data
BACKGROUND: Normalization is essential in dual-labelled microarray data analysis to remove non-biological variations and systematic biases. Many normalization methods have been used to remove such biases within slides (Global, Lowess) and across slides (Scale, Quantile and VSN). However, all these p...
保存先:
| 主要な著者: | , , , , |
|---|---|
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BioMed Central
2008
|
| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2275243/ https://ncbi.nlm.nih.gov/pubmed/18199333 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-9-25 |
| 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!
|