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Margaret R. Karagas
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2020 – today
- 2021
- [j14]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: 107425 (2021) - 2020
- [j13]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): 16 (2020)
2010 – 2019
- 2019
- [j12]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): 1-8 (2019) - [j11]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) - 2017
- [j10]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: 219-223 (2017) - 2016
- [j9]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: 14 (2016) - 2015
- [j8]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: 43 (2015) - 2014
- [j7]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: 5 (2014) - [c6]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: 1-5 - 2013
- [j6]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: 6 (2013) - [j5]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): 603-612 (2013) - [c5]Qinxin Pan, Ting Hu, Angeline S. Andrew, Margaret R. Karagas, Jason H. Moore:
Bladder cancer specific pathway interaction networks. ECAL 2013: 94-101 - [c4]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: 104-116 - [c3]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: 397-408 - 2011
- [j4]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: 364 (2011) - 2010
- [j3]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): 2578-2585 (2010) - [c2]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: 327-336
2000 – 2009
- 2009
- [j2]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): 1999-2005 (2009) - 2008
- [j1]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) - [c1]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: 447-452
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