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2020 – today
- 2023
[j7]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:
Discovering comorbid diseases using an inter-disease interactivity network based on biobank-scale PheWAS data. Bioinform. 39(1) (2023)- [j6]Manish Kumar Singh, Amit Choudhary, Sandeep Gulia, Anurag Verma:
Multi-objective NSGA-II optimization framework for UAV path planning in an UAV-assisted WSN. J. Supercomput. 79(1): 832-866 (2023) - [c14]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:
SynthA1c: Towards Clinically Interpretable Patient Representations for Diabetes Risk Stratification. PRIME@MICCAI 2023: 46-57 - 2022
- [i1]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:
Learning-Based Radiomic Prediction of Type 2 Diabetes Mellitus Using Image-Derived Phenotypes. CoRR abs/2209.10043 (2022) - 2021
- [c13]Brett K. Beaulieu-Jones, Christian Darabos, Dokyoon Kim, Anurag Verma, Shilpa Nadimpalli Kobren:
Innovative methodological approaches for data integration to derive patterns across diverse, large-scale biomedical datasets. PSB 2021 - 2020
- [c12]Shilpa Nadimpalli Kobren, Brett K. Beaulieu-Jones, Christian Darabos, Dokyoon Kim, Anurag Verma:
Session Introduction. PSB 2020: 286-294
2010 – 2019
- 2019
- [c11]Shefali Setia Verma, Anurag Verma, Dokyoon Kim, Christian Darabos:
Session Introduction. PSB 2019: 1-7 - [c10]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:
Detecting potential pleiotropy across cardiovascular and neurological diseases using univariate, bivariate, and multivariate methods on 43, 870 individuals from the eMERGE network. PSB 2019: 272-283 - [c9]Binglan Li, Yogasudha Veturi, Yukiko Bradford, Shefali S. Verma, Anurag Verma, Anastasia M. Lucas, David W. Haas, Marylyn D. Ritchie:
Influence of tissue context on gene prioritization for predicted transcriptome-wide association studies. PSB 2019: 296-307 - 2018
- [j5]Anurag Verma, Yukiko Bradford, Scott M. Dudek, Anastasia Lucas, Shefali S. Verma, Sarah A. Pendergrass, Marylyn D. Ritchie:
A simulation study investigating power estimates in phenome-wide association studies. BMC Bioinform. 19(1): 120:1-120:8 (2018) - [c8]Shefali Setia Verma, Anurag Verma, Anna Okula Basile, Marta Byrska-Bishop, Christian Darabos:
Session Introduction. PSB 2018: 104-110 - [c7]Binglan Li, Shefali S. Verma, Yogasudha Veturi, Anurag Verma, Yuki Bradford, David W. Haas, Marylyn D. Ritchie:
Evaluation of PrediXcan for prioritizing GWAS associations and predicting gene expression. PSB 2018: 448-459 - 2017
- [c6]Anna Okula Basile, Anurag Verma, Marta Byrska-Bishop, Sarah A. Pendergrass, Christian Darabos, H. Lester Kirchner:
Session Introduction. PSB 2017: 177-183 - 2016
- [c5]Shefali S. Verma, Alex T. Frase, Anurag Verma, Sarah A. Pendergrass, Shaun Mahony, David W. Haas, Marylyn D. Ritchie:
Phenome-Wide Interaction Study (PheWIS) in Aids Clinical Trials Group Data (ACTG). PSB 2016: 57-68 - [c4]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:
Integrating Clinical Laboratory Measures and ICD-9 Code Diagnoses in Phenome-Wide Association Studies. PSB 2016: 168-179 - 2015
- [j4]Anurag Verma, Gary M. Gaukler:
Pre-positioning disaster response facilities at safe locations: An evaluation of deterministic and stochastic modeling approaches. Comput. Oper. Res. 62: 197-209 (2015) - [j3]Anurag Verma, Austin Buchanan, Sergiy Butenko:
Solving the Maximum Clique and Vertex Coloring Problems on Very Large Sparse Networks. INFORMS J. Comput. 27(1): 164-177 (2015) - [c3]Joseph B. Leader, Sarah A. Pendergrass, Anurag Verma, David J. Carey, Dustin N. Hartzel, Marylyn D. Ritchie, H. Lester Kirchner:
Contrasting Association Results Between Existing PheWAS Phenotype Definition Methods and Five Validated Electronic Phenotypes. AMIA 2015 - 2012
- [j2]Anurag Verma, Sergiy Butenko:
A distributed approximation algorithm for the bottleneck connected dominating set problem. Optim. Lett. 6(8): 1583-1595 (2012) - [c2]Anurag Verma, Sergiy Butenko:
Network clustering via clique relaxations: A community based approach. Graph Partitioning and Graph Clustering 2012: 129-140 - 2011
- [c1]Anurag Verma, Gary M. Gaukler:
A Stochastic Optimization Model for Positioning Disaster Response Facilities for Large Scale Emergencies. INOC 2011: 547-552 - 2010
- [j1]Vandanaben Patel, Jason T. L. Wang, Shefali Setia, Anurag Verma, Charles D. Warden, Kaizhong Zhang:
On Comparing Two Structured RNA Multiple alignments. J. Bioinform. Comput. Biol. 8(6): 967-980 (2010)
Coauthor Index
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