ロード中...
Fast Principal Component Analysis of Large-Scale Genome-Wide Data
Principal component analysis (PCA) is routinely used to analyze genome-wide single-nucleotide polymorphism (SNP) data, for detecting population structure and potential outliers. However, the size of SNP datasets has increased immensely in recent years and PCA of large datasets has become a time cons...
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/PMC3981753/ https://ncbi.nlm.nih.gov/pubmed/24718290 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0093766 |
| 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!
|