On Comparing Two Structured RNA Multiple alignments. - Vandanaben Patel; Jason T. L. Wang; Shefali Setia; Anurag Verma; Charles D. Warden; Kaizhong Zhang (J. Bioinform. Comput. Biol., 2010)

A Stochastic Optimization Model for Positioning Disaster Response Facilities for Large Scale Emergencies. - Anurag Verma; Gary M. Gaukler (INOC, 2011)

Network clustering via clique relaxations: A community based approach. - Anurag Verma; Sergiy Butenko (Graph Partitioning and Graph Clustering, 2012)

A distributed approximation algorithm for the bottleneck connected dominating set problem. - Anurag Verma; Sergiy Butenko (Optim. Lett., 2012)

Contrasting Association Results Between Existing PheWAS Phenotype Definition Methods and Five Validated Electronic Phenotypes. - Joseph B. Leader; Sarah A. Pendergrass; Anurag Verma; David J. Carey; Dustin N. Hartzel; Marylyn D. Ritchie; H. Lester Kirchner (AMIA, 2015)

Pre-positioning disaster response facilities at safe locations: An evaluation of deterministic and stochastic modeling approaches. - Anurag Verma; Gary M. Gaukler (Comput. Oper. Res., 2015)

Solving the Maximum Clique and Vertex Coloring Problems on Very Large Sparse Networks. - Anurag Verma; Austin Buchanan; Sergiy Butenko (INFORMS J. Comput., 2015)

Phenome-Wide Interaction Study (PheWIS) in Aids Clinical Trials Group Data (ACTG). - Shefali S. Verma; Alex T. Frase; Anurag Verma; Sarah A. Pendergrass; Shaun Mahony; David W. Haas; Marylyn D. Ritchie (PSB, 2016)

Integrating Clinical Laboratory Measures and ICD-9 Code Diagnoses in Phenome-Wide Association Studies. - Anurag Verma; Joseph B. Leader; Shefali S. Verma; Alex T. Frase; John R. Wallace; Scott M. Dudek; Daniel R. Lavage; Cristopher V. Van Hout; Frederick E. Dewey; John Penn; Alexander E. Lopez; John D. Overton; et al. (PSB, 2016)

Session Introduction. - Anna Okula Basile; Anurag Verma; Marta Byrska-Bishop; Sarah A. Pendergrass; Christian Darabos; H. Lester Kirchner (PSB, 2017)

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)

Session Introduction. - Shefali Setia Verma; Anurag Verma; Anna Okula Basile; Marta Byrska-Bishop; Christian Darabos (PSB, 2018)

A simulation study investigating power estimates in phenome-wide association studies. - Anurag Verma; Yukiko Bradford; Scott M. Dudek; Anastasia Lucas; Shefali S. Verma; Sarah A. Pendergrass; Marylyn D. Ritchie (BMC Bioinform., 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)

Session Introduction. - Shefali Setia Verma; Anurag Verma; Dokyoon Kim; Christian Darabos (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)

Session Introduction. - Shilpa Nadimpalli Kobren; Brett K. Beaulieu-Jones; Christian Darabos; Dokyoon Kim; Anurag Verma (PSB, 2020)

Innovative methodological approaches for data integration to derive patterns across diverse, large-scale biomedical datasets. - Brett K. Beaulieu-Jones; Christian Darabos; Dokyoon Kim; Anurag Verma; Shilpa Nadimpalli Kobren (PSB, 2021)

Learning-Based Radiomic Prediction of Type 2 Diabetes Mellitus Using Image-Derived Phenotypes. - Michael S. Yao; Allison Chae; Matthew T. MacLean; Anurag Verma; Jeffrey T. Duda; James C. Gee; Drew A. Torigian; Daniel J. Rader; Charles E. Kahn; Walter R. Witschey; Hersh Sagreiya (CoRR, 2022)

SynthA1c: Towards Clinically Interpretable Patient Representations for Diabetes Risk Stratification. - Michael S. Yao; Allison Chae; Matthew T. MacLean; Anurag Verma; Jeffrey T. Duda; James C. Gee; Drew A. Torigian; Daniel J. Rader; Charles E. Kahn; Walter R. Witschey; Hersh Sagreiya (PRIME@MICCAI, 2023)

Multi-objective NSGA-II optimization framework for UAV path planning in an UAV-assisted WSN. - Manish Kumar Singh 004; Amit Choudhary; Sandeep Gulia; Anurag Verma (J. Supercomput., 2023)

Discovering comorbid diseases using an inter-disease interactivity network based on biobank-scale PheWAS data. - Yonghyun Nam; Sang-Hyuk Jung; Jae-Seung Yun; Vivek Sriram; Pankhuri Singhal; Marta Byrska-Bishop; Anurag Verma; Hyunjung Shin; Woong-Yang Park; Hong-Hee Won; Dokyoon Kim (Bioinform., 2023)