Eric Boerwinkle

According to our database1, Eric Boerwinkle authored at least 16 papers between 2005 and 2022.

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Bibliography

2022
The <i>All of Us</i> Research Program: Data quality, utility, and diversity.
Patterns, 2022

Genome-Wide Causation Studies of Complex Diseases.
J. Comput. Biol., 2022

2020
Forecasting and Evaluating Multiple Interventions for COVID-19 Worldwide.
Frontiers Artif. Intell., 2020

Causal Analysis of Health Interventions and Environments for Influencing the Spread of COVID-19 in the United States of America.
Frontiers Appl. Math. Stat., 2020

2017
New Algorithm and Software (BNOmics) for Inferring and Visualizing Bayesian Networks from Heterogeneous Big Biological and Genetic Data.
J. Comput. Biol., 2017

2016
Identification, analysis, and interpretation of a human serum metabolomics causal network in an observational study.
J. Biomed. Informatics, 2016

Generating a robust statistical causal structure over 13 cardiovascular disease risk factors using genomics data.
J. Biomed. Informatics, 2016

A hybrid computational strategy to address WGS variant analysis in >5000 samples.
BMC Bioinform., 2016

2015
Rare variants analysis using penalization methods for whole genome sequence data.
BMC Bioinform., 2015

2014
Launching genomics into the cloud: deployment of Mercury, a next generation sequence analysis pipeline.
BMC Bioinform., 2014

Evaluation of microarray-based DNA methylation measurement using technical replicates: the Atherosclerosis Risk In Communities (ARIC) Study.
BMC Bioinform., 2014

2009
Use of Wrapper Algorithms Coupled with a Random Forests Classifier for Variable Selection in Large-Scale Genomic Association Studies.
J. Comput. Biol., 2009

Fast implementation of a scan statistic for identifying chromosomal patterns of genome wide association studies.
Comput. Stat. Data Anal., 2009

2008
Reproducibility of genotypes as measured by the affymetrix GeneChip<sup>®</sup> 100K Human Mapping Array set.
Comput. Stat. Data Anal., 2008

2005
Mining Genetic Epidemiology Data with Bayesian Networks Application to APOE Gene Variation and Plasma Lipid Levels.
J. Comput. Biol., 2005

Mining genetic epidemiology data with Bayesian networks I: Bayesian networks and example application (plasma apoE levels).
Bioinform., 2005


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