Shefali S. Verma

According to our database1, Shefali S. Verma authored at least 19 papers between 2010 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2019
Detecting potential pleiotropy across cardiovascular and neurological diseases using univariate, bivariate, and multivariate methods on 43, 870 individuals from the eMERGE network.
Proceedings of the Biocomputing 2019: Proceedings of the Pacific Symposium, 2019

Session Introduction.
Proceedings of the Biocomputing 2019: Proceedings of the Pacific Symposium, 2019

Influence of tissue context on gene prioritization for predicted transcriptome-wide association studies.
Proceedings of the Biocomputing 2019: Proceedings of the Pacific Symposium, 2019

Neural network-based multiomics data integration in Alzheimer's disease.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

2018
A simulation study investigating power estimates in phenome-wide association studies.
BMC Bioinform., 2018

Collective feature selection to identify crucial epistatic variants.
BioData Min., 2018

Session Introduction.
Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018

Evaluation of PrediXcan for prioritizing GWAS associations and predicting gene expression.
Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018

2017
Using knowledge-driven genomic interactions for multi-omics data analysis: metadimensional models for predicting clinical outcomes in ovarian carcinoma.
J. Am. Medical Informatics Assoc., 2017

Discovery and replication of SNP-SNP interactions for quantitative lipid traits in over 60,000 individuals.
BioData Min., 2017

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.
Proceedings of the Biocomputing 2017: Proceedings of the Pacific Symposium, 2017

2016
Integrating Clinical Laboratory Measures and ICD-9 Code Diagnoses in Phenome-Wide Association Studies.
Proceedings of the Biocomputing 2016: Proceedings of the Pacific Symposium, 2016

Phenome-Wide Interaction Study (PheWIS) in Aids Clinical Trials Group Data (ACTG).
Proceedings of the Biocomputing 2016: Proceedings of the Pacific Symposium, 2016

Biofilter as a Functional Annotation Pipeline for Common and Rare Copy Number Burden.
Proceedings of the Biocomputing 2016: Proceedings of the Pacific Symposium, 2016

2015
Identifying gene-gene interactions that are highly associated with Body Mass Index using Quantitative Multifactor Dimensionality Reduction (QMDR).
BioData Min., 2015

Session Introduction.
Proceedings of the Biocomputing 2015: Proceedings of the Pacific Symposium, 2015

2014
Benefits of Accurate Imputations in GWAS.
Proceedings of the Applications of Evolutionary Computation - 17th European Conference, 2014

2013
Next-Generation Analysis of Cataracts: Determining Knowledge Driven Gene-Gene Interactions Using Biofilter, and Gene-Environment Interactions Using the PhenX Toolkit.
Proceedings of the Biocomputing 2013: Proceedings of the Pacific Symposium, 2013

2010
On Comparing Two Structured RNA Multiple alignments.
J. Bioinform. Comput. Biol., 2010


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