Evaluation of PrediXcan for prioritizing GWAS associations and predicting gene expression. - Binglan Li; Shefali S. Verma; Yogasudha Veturi; Anurag Verma; Yuki Bradford; David W. Haas; Marylyn D. Ritchie (PSB, 2018)

How powerful are summary-based methods for identifying expression-trait associations under different genetic architectures?. - Yogasudha Veturi; Marylyn D. Ritchie (PSB, 2018)

Collective feature selection to identify crucial epistatic variants. - Shefali S. Verma; Anastasia Lucas; Xinyuan Zhang 003; Yogasudha Veturi; Scott M. Dudek; Binglan Li; Ruowang Li; Ryan J. Urbanowicz; Jason H. Moore; Dokyoon Kim; Marylyn D. Ritchie (BioData Min., 2018)

Influence of tissue context on gene prioritization for predicted transcriptome-wide association studies. - Binglan Li; Yogasudha Veturi; Yukiko Bradford; Shefali S. Verma; Anurag Verma; Anastasia M. Lucas; David W. Haas; Marylyn D. Ritchie (PSB, 2019)

Detecting potential pleiotropy across cardiovascular and neurological diseases using univariate, bivariate, and multivariate methods on 43, 870 individuals from the eMERGE network. - Xinyuan Zhang 003; Yogasudha Veturi; Shefali Setia Verma; William Bone; Anurag Verma; Anastasia Lucas; Scott J. Hebbring; Joshua C. Denny; Ian B. Stanaway; Gail P. Jarvik; David R. Crosslin; Eric B. Larson; et al. (PSB, 2019)

Innovative strategies for annotating the "relationSNP" between variants and molecular phenotypes. - Jason E. Miller; Yogasudha Veturi; Marylyn D. Ritchie (BioData Min., 2019)

Multidimensional representations in late-life depression: convergence in neuroimaging, cognition, clinical symptomatology and genetics. - Junhao Wen 002; Cynthia H. Y. Fu; Duygu Tosun; Yogasudha Veturi; Zhijian Yang; Ahmed Abdulkadir; Elizabeth Mamourian; Dhivya Srinivasan; Jingxuan Bao; Güray Erus; Haochang Shou; Mohamad Habes; et al. (CoRR, 2021)