RT @CellPressNews: Multi-trait transcriptome-wide association studies with probabilistic Mendelian randomization @AJHGNews article @Genetic…
RT @CellPressNews: Multi-trait transcriptome-wide association studies with probabilistic Mendelian randomization @AJHGNews article @Genetic…
RT @CellPressNews: Multi-trait transcriptome-wide association studies with probabilistic Mendelian randomization @AJHGNews article @Genetic…
RT @CellPressNews: Multi-trait transcriptome-wide association studies with probabilistic Mendelian randomization @AJHGNews article @Genetic…
RT @CellPressNews: Multi-trait transcriptome-wide association studies with probabilistic Mendelian randomization @AJHGNews article @Genetic…
RT @CellPressNews: Multi-trait transcriptome-wide association studies with probabilistic Mendelian randomization @AJHGNews article @Genetic…
RT @CellPressNews: Multi-trait transcriptome-wide association studies with probabilistic Mendelian randomization @AJHGNews article @Genetic…
RT @CellPressNews: Multi-trait transcriptome-wide association studies with probabilistic Mendelian randomization @AJHGNews article @Genetic…
RT @CellPressNews: Multi-trait transcriptome-wide association studies with probabilistic Mendelian randomization @AJHGNews article @Genetic…
RT @CellPressNews: Multi-trait transcriptome-wide association studies with probabilistic Mendelian randomization @AJHGNews article @Genetic…
Multi-trait transcriptome-wide association studies with probabilistic Mendelian randomization @AJHGNews article @GeneticsSociety @ShandongU https://t.co/syDSneAxmX
Multi-trait transcriptome-wide association studies with probabilistic Mendelian randomization https://t.co/VJJ1DVu8yT
Multi-trait transcriptome-wide association studies with probabilistic Mendelian randomization https://t.co/VuX2YqX5JS
Multi-trait transcriptome-wide association studies with probabilistic Mendelian randomization... https://t.co/KoHmJ67pUA
Multi-trait transcriptome-wide association studies with probabilistic Mendelian randomization American Journal of Human Genetics 山东大学公卫学院博士生刘璐为该论文的第一作者,袁中尚、密歇根大学生物统计系Xiang Zhou教授为论文共同通讯作者 https://t.co/YYUXvBSmkV https://t.co/d70egzksJE
RT @AJHGNews: New! Liu et al. present moPMR-Egger, a multi-trait TWAS method https://t.co/XGdu02JQmx
New! Liu et al. present moPMR-Egger, a multi-trait TWAS method https://t.co/XGdu02JQmx