Margaret R. Karagas

Publication Activity (10 Years)

Years Active: 2008-2021
Publications (10 Years): 6

Top Topics

Conditional Dependencies

Bayesian Networks

Expert Knowledge

Top Venues

Comput. Biol. Chem.

Publications

Jai Woo Lee, Jie Zhou, Erika L. Moen, Tracy Punshon, Anne Gatewood Hoen, Megan E. Romano, Margaret R. Karagas, Jiang Gui
Prediction of an outcome using NETwork Clusters (NET-C). Comput. Biol. Chem. 90 (2021)
Jie Zhou, Weston D. Viles, Boran Lu, Zhigang Li, Juliette C. Madan, Margaret R. Karagas, Jiang Gui, Anne Gatewood Hoen
Identification of microbial interaction network: zero-inflated latent Ising model based approach. BioData Min. 13 (1) (2020)
Xun Shi, Meifang Li, Olivia Hunter, Bart Guetti, Angeline S. Andrew, Elijah Stommel, Walter Bradley, Margaret R. Karagas
Estimation of environmental exposure: interpolation, kernel density estimation or snapshotting. Ann. GIS 25 (1) (2019)
Jai Woo Lee, Erika L. Moen, Tracy Punshon, Anne Gatewood Hoen, Delisha Stewart, Hongzhe Li, Margaret R. Karagas, Jiang Gui
An Integrated Gaussian Graphical Model to evaluate the impact of exposures on metabolic networks. Comput. Biol. Medicine 114 (2019)
Jai Woo Lee, Tracy Punshon, Erika L. Moen, Margaret R. Karagas, Jiang Gui
Penalized estimation of sparse concentration matrices based on prior knowledge with applications to placenta elemental data. Comput. Biol. Chem. 71 (2017)
Jing Li, James D. Malley, Angeline S. Andrew, Margaret R. Karagas, Jason H. Moore
Detecting gene-gene interactions using a permutation-based random forest method. BioData Min. 9 (2016)
Ting Hu, Angeline S. Andrew, Margaret R. Karagas, Jason H. Moore
Functional dyadicity and heterophilicity of gene-gene interactions in statistical epistasis networks. BioData Min. 8 (2015)
Chengwei Su, Mark E. Borsuk, Angeline S. Andrew, Margaret R. Karagas
Incorporating prior expert knowledge in learning Bayesian networks from genetic epidemiological data. CIBCB (2014)
Ting Hu, Qinxin Pan, Angeline S. Andrew, Jillian M. Langer, Michael D. Cole, Craig R. Tomlinson, Margaret R. Karagas, Jason H. Moore
Functional genomics annotation of a statistical epistasis network associated with bladder cancer susceptibility. BioData Min. 7 (2014)
Ryan J. Urbanowicz, Angeline S. Andrew, Margaret R. Karagas, Jason H. Moore
Research and applications: Role of genetic heterogeneity and epistasis in bladder cancer susceptibility and outcome: a learning classifier system approach. J. Am. Medical Informatics Assoc. 20 (4) (2013)
Qinxin Pan, Ting Hu, James D. Malley, Angeline S. Andrew, Margaret R. Karagas, Jason H. Moore
Supervising Random Forest Using Attribute Interaction Networks. EvoBIO (2013)
Ting Hu, Angeline S. Andrew, Margaret R. Karagas, Jason H. Moore
Statistical Epistasis Networks Reduce the Computational Complexity of Searching Three-Locus Genetic Models. Pacific Symposium on Biocomputing (2013)
Qinxin Pan, Ting Hu, Angeline S. Andrew, Margaret R. Karagas, Jason H. Moore
Bladder cancer specific pathway interaction networks. ECAL (2013)
Chengwei Su, Angeline S. Andrew, Margaret R. Karagas, Mark E. Borsuk
Using Bayesian networks to discover relations between genes, environment, and disease. BioData Min. 6 (2013)
Ting Hu, Nicholas A. Sinnott-Armstrong, Jeff Kiralis, Angeline S. Andrew, Margaret R. Karagas, Jason H. Moore
Characterizing Genetic Interactions in Human Disease Association Studies Using Statistical Epistasis Networks. BMC Bioinform. 12 (2011)
Devin C. Koestler, Carmen J. Marsit, Brock C. Christensen, Margaret R. Karagas, Raphael Bueno, David J. Sugarbaker, Karl T. Kelsey, Eugene Andres Houseman
Semi-supervised recursively partitioned mixture models for identifying cancer subtypes. Bioinform. 26 (20) (2010)
Casey S. Greene, Daniel S. Himmelstein, Heather H. Nelson, Karl T. Kelsey, Scott M. Williams, Angeline S. Andrew, Margaret R. Karagas, Jason H. Moore
Enabling Personal Genomics with an Explicit Test of Epistasis. Pacific Symposium on Biocomputing (2010)
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
Copy number variation has little impact on bead-array-based measures of DNA methylation. Bioinform. 25 (16) (2009)
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
Model-based clustering of DNA methylation array data: a recursive-partitioning algorithm for high-dimensional data arising as a mixture of beta distributions. BMC Bioinform. 9 (2008)
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
Analysis of High-throughput DNA Methylation Bead Arrays Utilizing Bayesian Genotyping Algorithms. BMEI (1) (2008)