ロード中...
Using penalized regression to predict phenotype from SNP data
BACKGROUND: In a typical genome-enabled prediction problem there are many more predictor variables than response variables. This prohibits the application of multiple linear regression, because the unique ordinary least squares estimators of the regression coefficients are not defined. To overcome t...
保存先:
| 出版年: | BMC Proc |
|---|---|
| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BioMed Central
2018
|
| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6157193/ https://ncbi.nlm.nih.gov/pubmed/30275888 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12919-018-0149-2 |
| 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!
|