Anurag Verma

25 papers C 1Misc 11Journal 10Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
SAIGE-GPU: accelerating genome- and phenome-wide association studies using GPUs.
Bioinform.
Alex Rodriguez, Youngdae Kim, Tarak Nath Nandi, Karl Keat, Rachit Kumar, Mitchell Conery, Rohan Bhukar, Molei Liu, John Hessington, Ketan Maheshwari, VA Million Veteran Program, Edmon Begoli, Georgia Tourassi, Pradeep Natarajan, Benjamin F. Voight, John Michael Gaziano, Scott M. Damrauer, Katherine P. Liao, Wei Zhou, Jennifer E. Huffman, Anurag Verma, Ravi K. Madduri
2024 — conf
Implementation of Modified Present Block Cipher Using Verilog.
MIND (2)
Anurag Verma, Muzaffar Ali Khan, Poonam Jindal
2024 J jnl
Uncovering genetic associations in the human diseasome using an endophenotype-augmented disease network.
Bioinform.
Jakob Woerner, Vivek Sriram, Yonghyun Nam, Anurag Verma, Dokyoon Kim
2023 J jnl
Discovering comorbid diseases using an inter-disease interactivity network based on biobank-scale PheWAS data.
Bioinform.
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
2023 J jnl
Multi-objective NSGA-II optimization framework for UAV path planning in an UAV-assisted WSN.
J. Supercomput.
Manish Kumar Singh, Amit Choudhary, Sandeep Gulia, Anurag Verma
2023 — conf
SynthA1c: Towards Clinically Interpretable Patient Representations for Diabetes Risk Stratification.
PRIME@MICCAI
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
2022 J jnl
Learning-Based Radiomic Prediction of Type 2 Diabetes Mellitus Using Image-Derived Phenotypes.
CoRR
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
2021 Misc conf
Innovative methodological approaches for data integration to derive patterns across diverse, large-scale biomedical datasets.
PSB
Brett K. Beaulieu-Jones, Christian Darabos, Dokyoon Kim, Anurag Verma, Shilpa Nadimpalli Kobren
2020 Misc conf
Session Introduction.
PSB
Shilpa Nadimpalli Kobren, Brett K. Beaulieu-Jones, Christian Darabos, Dokyoon Kim, Anurag Verma
2019 Misc conf
Detecting potential pleiotropy across cardiovascular and neurological diseases using univariate, bivariate, and multivariate methods on 43, 870 individuals from the eMERGE network.
PSB
Xinyuan Zhang, 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, Laura Rasmussen-Torvik, Sarah A. Pendergrass, Jordan W. Smoller, Hakon Hakonarson, Patrick Sleiman, Chunhua Weng, David Fasel, Wei-Qi Wei, Iftikhar J. Kullo, Daniel J. Schaid, Wendy K. Chung, Marylyn D. Ritchie
2019 Misc conf
Influence of tissue context on gene prioritization for predicted transcriptome-wide association studies.
PSB
Binglan Li, Yogasudha Veturi, Yukiko Bradford, Shefali S. Verma, Anurag Verma, Anastasia M. Lucas, David W. Haas, Marylyn D. Ritchie
2019 Misc conf
Session Introduction.
PSB
Shefali Setia Verma, Anurag Verma, Dokyoon Kim, Christian Darabos
2018 J jnl
A simulation study investigating power estimates in phenome-wide association studies.
BMC Bioinform.
Anurag Verma, Yukiko Bradford, Scott M. Dudek, Anastasia Lucas, Shefali S. Verma, Sarah A. Pendergrass, Marylyn D. Ritchie
2018 Misc conf
Evaluation of PrediXcan for prioritizing GWAS associations and predicting gene expression.
PSB
Binglan Li, Shefali S. Verma, Yogasudha Veturi, Anurag Verma, Yuki Bradford, David W. Haas, Marylyn D. Ritchie
2018 Misc conf
Session Introduction.
PSB
Shefali Setia Verma, Anurag Verma, Anna Okula Basile, Marta Byrska-Bishop, Christian Darabos
2017 Misc conf
Session Introduction.
PSB
Anna Okula Basile, Anurag Verma, Marta Byrska-Bishop, Sarah A. Pendergrass, Christian Darabos, H. Lester Kirchner
2016 Misc conf
Integrating Clinical Laboratory Measures and ICD-9 Code Diagnoses in Phenome-Wide Association Studies.
PSB
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, David J. Carey, David H. Ledbetter, H. Lester Kirchner, Marylyn D. Ritchie, Sarah A. Pendergrass
2016 Misc conf
Phenome-Wide Interaction Study (PheWIS) in Aids Clinical Trials Group Data (ACTG).
PSB
Shefali S. Verma, Alex T. Frase, Anurag Verma, Sarah A. Pendergrass, Shaun Mahony, David W. Haas, Marylyn D. Ritchie
2015 Misc conf
Contrasting Association Results Between Existing PheWAS Phenotype Definition Methods and Five Validated Electronic Phenotypes.
AMIA
Joseph B. Leader, Sarah A. Pendergrass, Anurag Verma, David J. Carey, Dustin N. Hartzel, Marylyn D. Ritchie, H. Lester Kirchner
2015 J jnl
Pre-positioning disaster response facilities at safe locations: An evaluation of deterministic and stochastic modeling approaches.
Comput. Oper. Res.
Anurag Verma, Gary M. Gaukler
2015 J jnl
Solving the Maximum Clique and Vertex Coloring Problems on Very Large Sparse Networks.
INFORMS J. Comput.
Anurag Verma, Austin Buchanan, Sergiy Butenko
2012 J jnl
A distributed approximation algorithm for the bottleneck connected dominating set problem.
Optim. Lett.
Anurag Verma, Sergiy Butenko
2012 — conf
Network clustering via clique relaxations: A community based approach.
Graph Partitioning and Graph Clustering
Anurag Verma, Sergiy Butenko
2011 C conf
A Stochastic Optimization Model for Positioning Disaster Response Facilities for Large Scale Emergencies.
INOC
Anurag Verma, Gary M. Gaukler
2010 J jnl
On Comparing Two Structured RNA Multiple alignments.
J. Bioinform. Comput. Biol.
Vandanaben Patel, Jason T. L. Wang, Shefali Setia, Anurag Verma, Charles D. Warden, Kaizhong Zhang