Margaret R. Karagas

发表

Incorporating prior expert knowledge in learning Bayesian networks from genetic epidemiological data

Mark E. Borsuk, Chengwei Su, Angeline S. Andrew, 2014, 2014 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology.

Model-based clustering of DNA methylation array data: a recursive-partitioning algorithm for high-dimensional data arising as a mixture of beta distributions

Margaret R. Karagas, Ru-Fang Yeh, Joseph Wiemels, 2008, BMC Bioinformatics.

Inside the black box: starting to uncover the underlying decision rules used in a one-by-one expert assessment of occupational exposure in case-control studies

Kai Yu, Margaret R. Karagas, David C. Wheeler, 2012, Occupational and Environmental Medicine.

Estimating Microbial Interaction Network:Zero-inflated Latent Ising Model Based Approach

Jie Zhou, Margaret R. Karagas, Weston D. Viles, 2020, bioRxiv.

Estimation of environmental exposure: interpolation, kernel density estimation or snapshotting

Angeline S. Andrew, Margaret R. Karagas, Meifang Li, 2018, Ann. GIS.

Functional dyadicity and heterophilicity of gene-gene interactions in statistical epistasis networks

Ting Hu, Jason H. Moore, Angeline S. Andrew, 2015, BioData Mining.

Using Bayesian networks to discover relations between genes, environment, and disease

Mark E. Borsuk, Chengwei Su, Angeline S. Andrew, 2013, BioData Mining.

Detecting gene-gene interactions using a permutation-based random forest method

Jing Li, Jason H. Moore, James D. Malley, 2016, BioData Mining.

Bladder cancer specific pathway interaction networks

Ting Hu, Jason H. Moore, Angeline S. Andrew, 2013, ECAL.

Pacific Symposium on Biocomputing 15:327-336(2010) ENABLING PERSONAL GENOMICS WITH AN EXPLICIT TEST OF EPISTASIS

Jason H. Moore, Casey S. Greene, Angeline S. Andrew, 2022 .

Supervising Random Forest Using Attribute Interaction Networks

Ting Hu, Jason H. Moore, James D. Malley, 2013, EvoBIO.

Copy number variation has little impact on bead-array-based measures of DNA methylation

Margaret R. Karagas, Joseph Wiemels, John K. Wiencke, 2009, Bioinform..

Role of genetic heterogeneity and epistasis in bladder cancer susceptibility and outcome: a learning classifier system approach

Jason H. Moore, Ryan J. Urbanowicz, Angeline S. Andrew, 2013, J. Am. Medical Informatics Assoc..

Semi-supervised recursively partitioned mixture models for identifying cancer subtypes

Devin C. Koestler, Margaret R. Karagas, E. Andres Houseman, 2010, Bioinform..

Functional genomics annotation of a statistical epistasis network associated with bladder cancer susceptibility

Ting Hu, Jason H. Moore, Angeline S. Andrew, 2014, BioData Mining.

Statistical Epistasis Networks Reduce the Computational Complexity of Searching Three-Locus Genetic Models

Ting Hu, Jason H. Moore, Angeline S. Andrew, 2012, Pacific Symposium on Biocomputing.

MedZIM: Mediation analysis for Zero-Inflated Mediators with applications to microbiome data

Susmita Datta, Margaret R. Karagas, Zhigang Li, 2019 .

Characterizing genetic interactions in human disease association studies using statistical epistasis networks

Ting Hu, Jason H. Moore, Angeline S. Andrew, 2011, BMC Bioinformatics.

Analysis of High-throughput DNA Methylation Bead Arrays Utilizing Bayesian Genotyping Algorithms

Margaret R. Karagas, Mark R. Segal, Ru-Fang Yeh, 2008, 2008 International Conference on BioMedical Engineering and Informatics.

IFAA: Robust Association Identification and Inference for Absolute Abundance in Microbiome Analyses

Hongzhe Li, Margaret R. Karagas, Juliette C. Madan, 2019, Journal of the American Statistical Association.

Evidence on the Human Health Effects of Low-Level Methylmercury Exposure

Margaret R. Karagas, Philippe Grandjean, Milena Horvat, 2012, Environmental health perspectives.

DNA Repair Polymorphisms Modify Bladder Cancer Risk: A Multi-factor Analytic Strategy

Paolo Vineis, Angeline S. Andrew, Margaret R. Karagas, 2007, Human Heredity.

A novel survival multifactor dimensionality reduction method for detecting gene–gene interactions with application to bladder cancer prognosis

Angeline S. Andrew, Margaret R. Karagas, Jiang Gui, 2010, Human Genetics.

Bladder cancer SNP panel predicts susceptibility and survival

Arthur C. Sanderson, Angeline S. Andrew, Margaret R. Karagas, 2009, Human Genetics.

Nonlinear and Nonparametric Regression and Instrumental Variables

Ciprian M. Crainiceanu, David Ruppert, Margaret R. Karagas, 2004 .

A Dietary-Wide Association Study (DWAS) of Environmental Metal Exposure in US Children and Adults

Margaret R. Karagas, Scott M. Williams, H. Robert Frost, 2014, PloS one.

HSD3B and Gene-Gene Interactions in a Pathway-Based Analysis of Genetic Susceptibility to Bladder Cancer

Jian Gu, Ting Hu, Angeline S. Andrew, 2012, PloS one.

A Simple and Computationally Efficient Sampling Approach to Covariate Adjustment for Multifactor Dimensionality Reduction Analysis of Epistasis

Angeline S. Andrew, Margaret R. Karagas, Jiang Gui, 2010, Human Heredity.

Rice Consumption and Urinary Arsenic Concentrations in U.S. Children

Margaret R. Karagas, Tracy Punshon, Diane Gilbert-Diamond, 2012, Environmental health perspectives.

IARC Monographs: 40 Years of Evaluating Carcinogenic Hazards to Humans

Per Gustavsson, Tony Fletcher, Linda S. Birnbaum, 2015, Environmental health perspectives.

Analysis of Heritability and Shared Heritability Based on Genome-Wide Association Studies for 13 Cancer Types

Alison P. Klein, William Wheeler, Li Jin, 2015 .

Incidence of Transitional Cell Carcinoma of the Bladder and Arsenic Exposure in New Hampshire

Margaret R. Karagas, John Heaney, Tor D. Tosteson, 2004, Cancer Causes & Control.

Cancer heterogeneity: origins and implications for genetic association studies.

Margaret R. Karagas, Mathieu Lupien, Davnah Urbach, 2012, Trends in genetics : TIG.