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; et al. (BMEI (1), 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)

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)

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 (Pacific Symposium on Biocomputing, 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)

Characterizing Genetic Interactions in Human Disease Association Studies Using Statistical Epistasis Networks. - Ting Hu 001; Nicholas A. Sinnott-Armstrong; Jeff Kiralis; Angeline S. Andrew; Margaret R. Karagas; Jason H. Moore (BMC Bioinform., 2011)

Bladder cancer specific pathway interaction networks. - Qinxin Pan; Ting Hu 001; Angeline S. Andrew; Margaret R. Karagas; Jason H. Moore (ECAL, 2013)

Supervising Random Forest Using Attribute Interaction Networks. - Qinxin Pan; Ting Hu 001; James D. Malley; Angeline S. Andrew; Margaret R. Karagas; Jason H. Moore (EvoBIO, 2013)

Statistical Epistasis Networks Reduce the Computational Complexity of Searching Three-Locus Genetic Models. - Ting Hu 001; Angeline S. Andrew; Margaret R. Karagas; Jason H. Moore (Pacific Symposium on Biocomputing, 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)

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)

Incorporating prior expert knowledge in learning Bayesian networks from genetic epidemiological data. - Chengwei Su; Mark E. Borsuk; Angeline S. Andrew; Margaret R. Karagas (CIBCB, 2014)

Functional genomics annotation of a statistical epistasis network associated with bladder cancer susceptibility. - Ting Hu 001; Qinxin Pan; Angeline S. Andrew; Jillian M. Langer; Michael D. Cole; Craig R. Tomlinson; Margaret R. Karagas; Jason H. Moore (BioData Min., 2014)

Functional dyadicity and heterophilicity of gene-gene interactions in statistical epistasis networks. - Ting Hu 001; Angeline S. Andrew; Margaret R. Karagas; Jason H. Moore (BioData Min., 2015)

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)

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)

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)

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)

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)

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)