Margaret R. Karagas

According to our database, Margaret R. Karagas authored at least 20 papers between 2008 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

Prediction of an outcome using NETwork Clusters (NET-C).

Jai Woo Lee, Jie Zhou, Erika L. Moen, Tracy Punshon, Anne Gatewood Hoen, Megan E. Romano, Margaret R. Karagas, Jiang Gui

Comput. Biol. Chem., 2021

2020

Identification of microbial interaction network: zero-inflated latent Ising model based approach.

Jie Zhou, Weston D. Viles, Boran Lu, Zhigang Li, Juliette C. Madan, Margaret R. Karagas, Jiang Gui, Anne Gatewood Hoen

BioData Min., 2020

2019

An Integrated Gaussian Graphical Model to evaluate the impact of exposures on metabolic networks.

Jai Woo Lee, Erika L. Moen, Tracy Punshon, Anne Gatewood Hoen, Delisha Stewart, Hongzhe Li, Margaret R. Karagas, Jiang Gui

Comput. Biol. Medicine, 2019

Estimation of environmental exposure: interpolation, kernel density estimation or snapshotting.

Xun Shi, Meifang Li, Olivia Hunter, Bart Guetti, Angeline S. Andrew, Elijah Stommel, Walter Bradley, Margaret R. Karagas

Ann. GIS, 2019

2017

Penalized estimation of sparse concentration matrices based on prior knowledge with applications to placenta elemental data.

Jai Woo Lee, Tracy Punshon, Erika L. Moen, Margaret R. Karagas, Jiang Gui

Comput. Biol. Chem., 2017

2016

Detecting gene-gene interactions using a permutation-based random forest method.

Jing Li, James D. Malley, Angeline S. Andrew, Margaret R. Karagas, Jason H. Moore

BioData Min., 2016

2015

Functional dyadicity and heterophilicity of gene-gene interactions in statistical epistasis networks.

Ting Hu, Angeline S. Andrew, Margaret R. Karagas, Jason H. Moore

BioData Min., 2015

2014

Functional genomics annotation of a statistical epistasis network associated with bladder cancer susceptibility.

Ting Hu, Qinxin Pan, Angeline S. Andrew, Jillian M. Langer, Michael D. Cole, Craig R. Tomlinson, Margaret R. Karagas, Jason H. Moore

BioData Min., 2014

Incorporating prior expert knowledge in learning Bayesian networks from genetic epidemiological data.

Chengwei Su, Mark E. Borsuk, Angeline S. Andrew, Margaret R. Karagas

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2014

2013

Research and applications: Role of genetic heterogeneity and epistasis in bladder cancer susceptibility and outcome: a learning classifier system approach.

Ryan J. Urbanowicz, Angeline S. Andrew, Margaret R. Karagas, Jason H. Moore

J. Am. Medical Informatics Assoc., 2013

Using Bayesian networks to discover relations between genes, environment, and disease.

Chengwei Su, Angeline S. Andrew, Margaret R. Karagas, Mark E. Borsuk

BioData Min., 2013

Statistical Epistasis Networks Reduce the Computational Complexity of Searching Three-Locus Genetic Models.

Ting Hu, Angeline S. Andrew, Margaret R. Karagas, Jason H. Moore

Proceedings of the Biocomputing 2013: Proceedings of the Pacific Symposium, 2013

Supervising Random Forest Using Attribute Interaction Networks.

Qinxin Pan, Ting Hu, James D. Malley, Angeline S. Andrew, Margaret R. Karagas, Jason H. Moore

Proceedings of the Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 2013

Bladder cancer specific pathway interaction networks.

Qinxin Pan, Ting Hu, Angeline S. Andrew, Margaret R. Karagas, Jason H. Moore

Proceedings of the Twelfth European Conference on the Synthesis and Simulation of Living Systems: Advances in Artificial Life, 2013

2011

Characterizing Genetic Interactions in Human Disease Association Studies Using Statistical Epistasis Networks.

Ting Hu, Nicholas A. Sinnott-Armstrong, Jeff Kiralis, Angeline S. Andrew, Margaret R. Karagas, Jason H. Moore

BMC Bioinform., 2011

2010

Semi-supervised recursively partitioned mixture models for identifying cancer subtypes.

Devin C. Koestler, Carmen J. Marsit, Brock C. Christensen, Margaret R. Karagas, Raphael Bueno, David J. Sugarbaker, Karl T. Kelsey, Eugene Andres Houseman

Bioinform., 2010

Enabling Personal Genomics with an Explicit Test of Epistasis.

Casey S. Greene, Daniel S. Himmelstein, Heather H. Nelson, Karl T. Kelsey, Scott M. Williams, Angeline S. Andrew, Margaret R. Karagas, Jason H. Moore

Proceedings of the Biocomputing 2010: Proceedings of the Pacific Symposium, 2010

2009

Copy number variation has little impact on bead-array-based measures of DNA methylation.

Eugene Andres Houseman, Brock C. Christensen, Margaret R. Karagas, Margaret R. Wrensch, Heather H. Nelson, Joseph Wiemels, Shichun Zheng, John K. Wiencke, Karl T. Kelsey, Carmen J. Marsit

Bioinform., 2009

2008

Model-based clustering of DNA methylation array data: a recursive-partitioning algorithm for high-dimensional data arising as a mixture of beta distributions.

Eugene Andres Houseman, Brock C. Christensen, Ru-Fang Yeh, Carmen J. Marsit, Margaret R. Karagas, Margaret R. Wrensch, Heather H. Nelson, Joseph Wiemels, Shichun Zheng, John K. Wiencke, Karl T. Kelsey

BMC Bioinform., 2008

Analysis of High-throughput DNA Methylation Bead Arrays Utilizing Bayesian Genotyping Algorithms.

Yuanyuan Xiao, Mark R. Segal, Eugene Andres Houseman, Joseph Wiemels, John K. Wiencke, Shichun Zheng, Margaret R. Wrensch, Brock C. Christensen, Carmen J. Marsit, Karl T. Kelsey, Heather H. Nelson, Margaret R. Karagas, Ru-Fang Yeh

Proceedings of the 2008 International Conference on BioMedical Engineering and Informatics, 2008