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Angeline S. Andrew
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2020 – today
- 2022
- [j9]Albert Rosenberger, Viola Tozzi, Heike Bickeböller, Rayjean J. Hung, David C. Christiani, Neil E. Caporaso, Geoffrey Liu, Stig E. Bojesen, Loic Le Marchand, Demetrios Albanes, Melinda C. Aldrich, Adonina Tardon, Guillermo Fernández-Tardón, Gad Rennert, John K. Field, Mike Davies, Triantafillos Liloglou, Lambertus A. Kiemeney, Philip Lazarus, Aage Haugen, Shanbeh Zienolddiny, Stephen Lam, Matthew B. Schabath, Angeline S. Andrew, Eric J. Duell, Susanne M. Arnold, Hans Brunnström, Olle Melander, Gary E. Goodman, Chu Chen, Jennifer A. Doherty, Marion Dawn Teare, Angela Cox, Penella J. Woll, Angela Risch, Thomas R. Muley, Mikael Johansson, Paul Brennan, Maria Teresa Landi, Sanjay Shete, Christopher I. Amos:
Iam hiQ - a novel pair of accuracy indices for imputed genotypes. BMC Bioinform. 23(1): 50 (2022)
2010 – 2019
- 2019
- [j8]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) - 2016
- [j7]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) - [j6]Samantha Cheng, Angeline S. Andrew, Peter C. Andrews, Jason H. Moore:
Complex systems analysis of bladder cancer susceptibility reveals a role for decarboxylase activity in two genome-wide association studies. BioData Min. 9: 40:1-40:6 (2016) - 2015
- [j5]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
- [j4]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) - [c5]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
- [j3]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) - [j2]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) - [c4]Qinxin Pan, Ting Hu, Angeline S. Andrew, Margaret R. Karagas, Jason H. Moore:
Bladder cancer specific pathway interaction networks. ECAL 2013: 94-101 - [c3]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 - [c2]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
- [j1]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
- [c1]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
Coauthor Index
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