Angeline S. Andrew

Publication Activity (10 Years)

Years Active: 2010-2022
Publications (10 Years): 4

Top Topics

Interaction Networks

Kernel Density Estimation

Reduce The Computational Complexity

Top Venues

Publications

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) (2022)
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)
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)
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 (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)
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)