ロード中...
Constructing non-stationary Dynamic Bayesian Networks with a flexible lag choosing mechanism
BACKGROUND: Dynamic Bayesian Networks (DBNs) are widely used in regulatory network structure inference with gene expression data. Current methods assumed that the underlying stochastic processes that generate the gene expression data are stationary. The assumption is not realistic in certain applica...
保存先:
| 主要な著者: | , |
|---|---|
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BioMed Central
2010
|
| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3026374/ https://ncbi.nlm.nih.gov/pubmed/20946611 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-11-S6-S27 |
| 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!
|