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在“Elsevier电子期刊”中，命中：3条，耗时：小于0.01 秒

1.Using propensity score adjustment method in genetic association studies

作者：Amrita Sengupta Chattopadhyay^a ; ^b ; ^c ; ¹ ; Ying-Chao Lin^d ; ¹ ; Ai-Ru Hsieh^e ; ¹ ; Chien-Ching Chang^d ; Ie-Bin Lian^f ; ^{maiblian@cc.ncue.edu.tw" class="auth_mail" title="E-mail the corresponding author} ; Cathy S.J. Fann^a ; ^d ; ^{csjfann@ibms.sinica.edu.tw" class="auth_mail" title="E-mail the corresponding author}

关键词：PS ; propensity Score ; PSAM ; propensity score adjustment method ; ULRM ; univariate logistic regression method ; S-MLRM ; stepwise-multivariate logistic regressioin method ; GWAS ; Genome Wide Association studies ; GAW ; genetic analysis workshop ; NARAC ; North American Rheumatoid Arthritis Consortium ; SNP ; single nucleotide polymorphism ; CPU ; Central Processing Unit ; LD ; linkage disequilibrium ; Dom ; dominant ; Rec ; recessive ; MDR ; multifactor dimensionality reduction ; ATM ; Ataxia telangiectasia mutated ; P

刊名：Computational Biology and Chemistry

出版年：2016

2.Effective homology of k-D digital objects (partially) calculated in parallel

作者：Raú ; l Reina-Molina ; ^a ; ^{raulrm75@gmail.com" class="auth_mail" title="E-mail the corresponding author} ; Daniel Dí ; az-Pernil^b ; ^{sbdani@us.es" class="auth_mail" title="E-mail the corresponding author} ; Pedro Real^a ; ^{real@us.es" class="auth_mail" title="E-mail the corresponding author} ; Ainhoa Berciano^c ; ^{ainhoa.berciano@ehu.es" class="auth_mail" title="E-mail the corresponding author}

关键词：Effective Homology ; Digital Object ; Parallel Algorithms ; Chain Contraction ; Discrete Morse Theory

刊名：Pattern Recognition Letters

出版年：2016

3.The influence of rapid urbanization and land use changes on terrestrial carbon sources/sinks in Guangzhou, China

作者：Qian Xu^a ; ^{xuqian19840613@163.com" class="auth_mail" title="E-mail the corresponding author} ; Ren Yang^a ; ^{yangren0514@163.com" class="auth_mail" title="E-mail the corresponding author} ; ^{yangren666@mail.sysu.edu.cn" class="auth_mail" title="E-mail the corresponding author} ; Yu-Xiang Dong^a ; ^{eesdyx@mail.sysu.edu.cn" class="auth_mail" title="E-mail the corresponding author} ; Yan-Xu Liu^b ; ^{liuyanxu@pku.edu.cn" class="auth_mail" title="E-mail the corresponding author} ; Lin-Run Qiu^a ; ^{qiulr@mail2.sysu.edu.cn" class="auth_mail" title="E-mail the corresponding author}

关键词：Land use ; Carbon sink ; Carbon emissions ; Urbanization ; Guangzhou

刊名：Ecological Indicators

出版年：2016

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