ロード中...
A closer look at cross-validation for assessing the accuracy of gene regulatory networks and models
Cross-validation (CV) is a technique to assess the generalizability of a model to unseen data. This technique relies on assumptions that may not be satisfied when studying genomics datasets. For example, random CV (RCV) assumes that a randomly selected set of samples, the test set, well represents u...
保存先:
| 出版年: | Sci Rep |
|---|---|
| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Nature Publishing Group UK
2018
|
| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5920056/ https://ncbi.nlm.nih.gov/pubmed/29700343 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-018-24937-4 |
| 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!
|