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Shefali S. Verma
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2020 – today
- 2023
- [j8]Nadia Penrod, Chelsea Okeh, Digna Velez Edwards, Kurt Barnhart, Suneeta Senapati, Shefali S. Verma:
Leveraging electronic health record data for endometriosis research. Frontiers Digit. Health 5 (2023) - [c15]Chunrui Zou
, Walter C. Mankowski, Lauren Pantalone, Shefali Setia Verma, Eduardo Jose Mortani Barbosa Jr., Tessa S. Cook, Peter B. Noël, Erica L. Carpenter, Jeffrey C. Thompson, Russell T. Shinohara, Sharyn Katz, Despina Kontos:
A radiomics-based model for the outcome prediction in COVID-19 positive patients through deep learning with both longitudinal chest x-ray and chest computed tomography images. Medical Imaging: Computer-Aided Diagnosis 2023 - 2021
- [j7]Ning Shang
Medical records-based chronic kidney disease phenotype for clinical care and "big data" observational and genetic studies. npj Digit. Medicine 4 (2021) - [c14]Kristin Passero, Shefali Setia Verma, Kimberly McAllister, Arjun K. Manrai, Chirag J. Patel, Molly A. Hall:
What about the environment? Leveraging multi-omic datasets to characterize the environment's role in human health. PSB 2021
2010 – 2019
- 2019
- [c13]Pankhuri Singhal, Shefali S. Verma, Scott M. Dudek, Marylyn D. Ritchie:
Neural network-based multiomics data integration in Alzheimer's disease. GECCO (Companion) 2019: 403-404 - [c12]Shefali Setia Verma, Anurag Verma, Dokyoon Kim, Christian Darabos:
Session Introduction. PSB 2019: 1-7 - [c11]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 - [c10]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
- [j6]Shefali S. Verma, Anastasia Lucas, Xinyuan Zhang, Yogasudha Veturi, Scott M. Dudek, Binglan Li
Collective feature selection to identify crucial epistatic variants. BioData Min. 11(1): 5:1-5:22 (2018) - [j5]Anurag Verma
A simulation study investigating power estimates in phenome-wide association studies. BMC Bioinform. 19(1): 120:1-120:8 (2018) - [c9]Shefali Setia Verma, Anurag Verma, Anna Okula Basile, Marta Byrska-Bishop, Christian Darabos:
Session Introduction. PSB 2018: 104-110 - [c8]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
- [j4]Emily Rose Holzinger, Shefali S. Verma, Carrie Colleen Buchanan Moore, Molly A. Hall, Rishika De, Diane Gilbert-Diamond, Matthew B. Lanktree
Discovery and replication of SNP-SNP interactions for quantitative lipid traits in over 60,000 individuals. BioData Min. 10(1): 25:1-25:20 (2017) - [j3]Dokyoon Kim, Ruowang Li, Anastasia Lucas, Shefali S. Verma, Scott M. Dudek, Marylyn D. Ritchie:
Using knowledge-driven genomic interactions for multi-omics data analysis: metadimensional models for predicting clinical outcomes in ovarian carcinoma. J. Am. Medical Informatics Assoc. 24(3): 577-587 (2017) - [c7]Shefali S. Verma, Anastasia Lucas, Daniel R. Lavage, Joseph B. Leader, Raghu Metpally, Sarathbabu Krishnamurthy, Frederick E. Dewey, Ingrid B. Borecki, Alexander E. Lopez, John D. Overton, John Penn, Jeffrey G. Reid, Sarah A. Pendergrass, Gerda Breitwieser, Marylyn D. Ritchie:
Identifying Genetic Associations with Variability in Metabolic Health and Blood Count Laboratory Values: Diving into the Quantitative Traits by Leveraging Longitudinal Data from an EHR. PSB 2017: 533-544 - 2016
- [c6]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 - [c5]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 - [c4]Dokyoon Kim, Anastasia Lucas, Joseph Glessner, Shefali S. Verma, Yukiko Bradford, Ruowang Li, Alex T. Frase, Hakon Hakonarson, Peggy L. Peissig, Murray H. Brilliant, Marylyn D. Ritchie:
Biofilter as a Functional Annotation Pipeline for Common and Rare Copy Number Burden. PSB 2016: 357-368 - 2015
- [j2]Rishika De, Shefali S. Verma, Fotios Drenos
Identifying gene-gene interactions that are highly associated with Body Mass Index using Quantitative Multifactor Dimensionality Reduction (QMDR). BioData Min. 8: 41 (2015) - [c3]Molly A. Hall, Shefali S. Verma, Dennis P. Wall, Jason H. Moore, Brendan Keating, Daniel B. Campbell, Gregory Gibson, Folkert W. Asselbergs, Sarah A. Pendergrass:
Session Introduction. Pacific Symposium on Biocomputing 2015: 156-160 - 2014
- [c2]Shefali S. Verma, Peggy L. Peissig, Deanna S. Cross, Carol Waudby, Murray H. Brilliant, Catherine A. McCarty
Benefits of Accurate Imputations in GWAS. EvoApplications 2014: 877-889 - 2013
- [c1]Sarah A. Pendergrass, Shefali S. Verma, Emily Rose Holzinger, Carrie Moore, John R. Wallace, Scott M. Dudek, Wayne Huggins, Terrie E. Kitchner, Carol Waudby, Richard L. Berg, Catherine A. McCarty, Marylyn D. Ritchie:
Next-Generation Analysis of Cataracts: Determining Knowledge Driven Gene-Gene Interactions Using Biofilter, and Gene-Environment Interactions Using the PhenX Toolkit. Pacific Symposium on Biocomputing 2013: 147-158 - 2010
- [j1]Vandanaben Patel, Jason T. L. Wang, Shefali Setia, Anurag Verma
On Comparing Two Structured RNA Multiple alignments. J. Bioinform. Comput. Biol. 8(6): 967-980 (2010)
Coauthor Index
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