文献
J-GLOBAL ID:202002261831025285
整理番号:20A2759446
生物学的および統計的共変量の利用はエピゲノムワイド関連試験における検出力を改善する【JST・京大機械翻訳】
Leveraging biological and statistical covariates improves the detection power in epigenome-wide association testing
著者 (10件):
Huang Jinyan
(State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, National Research Center for Translational Medicine, Rui-Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Jiao Tong University, Shanghai, China)
,
Bai Ling
(State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, National Research Center for Translational Medicine, Rui-Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Jiao Tong University, Shanghai, China)
,
Cui Bowen
(State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, National Research Center for Translational Medicine, Rui-Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Jiao Tong University, Shanghai, China)
,
Wu Liang
(State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, National Research Center for Translational Medicine, Rui-Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Jiao Tong University, Shanghai, China)
,
Wang Liwen
(Department of General Surgery, Rui-Jin Hospital, Shanghai Jiao Tong University, Shanghai, China)
,
An Zhiyin
(State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, National Research Center for Translational Medicine, Rui-Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Jiao Tong University, Shanghai, China)
,
Ruan Shulin
(State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, National Research Center for Translational Medicine, Rui-Jin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Jiao Tong University, Shanghai, China)
,
Yu Yue
(Division of Digital Health Sciences, Mayo Clinic, Rochester, USA)
,
Zhang Xianyang
(Department of Statistics, Texas A&M University, College Station, USA)
,
Chen Jun
(Division of Biomedical Statistics and Informatics, Department of Health Sciences Research and Center for Individualized Medicine, Mayo Clinic, Rochester, USA)
資料名:
Genome Biology (Web)
(Genome Biology (Web))
巻:
21
号:
1
ページ:
1-19
発行年:
2020年
JST資料番号:
U7384A
ISSN:
1474-760X
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
イギリス (GBR)
言語:
英語 (EN)