ロード中...
CGBayesNets: Conditional Gaussian Bayesian Network Learning and Inference with Mixed Discrete and Continuous Data
Bayesian Networks (BN) have been a popular predictive modeling formalism in bioinformatics, but their application in modern genomics has been slowed by an inability to cleanly handle domains with mixed discrete and continuous variables. Existing free BN software packages either discretize continuous...
保存先:
| 主要な著者: | , , |
|---|---|
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Public Library of Science
2014
|
| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4055564/ https://ncbi.nlm.nih.gov/pubmed/24922310 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1003676 |
| 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!
|