Comparison of dimension reduction-based logistic regression models for case-control genome-wide association study: principal components analysis vs. partial least squares | |
Yi Honggang; Wo Hongmei; Zhao Yang; Zhang Ruyang; Dai Junchen; Jin Guangfu; Ma Hongxia; Wu Tangchun; Hu Zhibin; Lin Dongxin | |
2015 | |
卷号 | 29期号:4页码:298-307 |
关键词 | genome-wide association study partial least squares-based logistic regression power principal components analysis type I error |
ISSN号 | 1674-8301 |
DOI | 10.7555/JBR.29.20140043 |
URL标识 | 查看原文 |
收录类别 | PUBMED ; CSCD |
内容类型 | 期刊论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/6388852 |
专题 | 中国医学科学院 北京协和医学院 |
推荐引用方式 GB/T 7714 | Yi Honggang,Wo Hongmei,Zhao Yang,et al. Comparison of dimension reduction-based logistic regression models for case-control genome-wide association study: principal components analysis vs. partial least squares[J],2015,29(4):298-307. |
APA | Yi Honggang.,Wo Hongmei.,Zhao Yang.,Zhang Ruyang.,Dai Junchen.,...&Chen Feng.(2015).Comparison of dimension reduction-based logistic regression models for case-control genome-wide association study: principal components analysis vs. partial least squares.,29(4),298-307. |
MLA | Yi Honggang,et al."Comparison of dimension reduction-based logistic regression models for case-control genome-wide association study: principal components analysis vs. partial least squares".29.4(2015):298-307. |
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