ロード中...
Machine learning derived risk prediction of anorexia nervosa
BACKGROUND: Anorexia nervosa (AN) is a complex psychiatric disease with a moderate to strong genetic contribution. In addition to conventional genome wide association (GWA) studies, researchers have been using machine learning methods in conjunction with genomic data to predict risk of diseases in w...
保存先:
| 出版年: | BMC Med Genomics |
|---|---|
| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BioMed Central
2016
|
| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4721143/ https://ncbi.nlm.nih.gov/pubmed/26792494 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12920-016-0165-x |
| 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!
|