Jason H Moore

发表

A balanced accuracy function for epistasis modeling in imbalanced datasets using multifactor dimensionality reduction

Scott M. Williams, Digna R Velez, Bill C White, 2007, Genetic epidemiology.

Genome-wide epistasis and pleiotropy characterized by the bipartite human phenotype network.

Christian Darabos, Jason H Moore, 2015, Methods in molecular biology.

EBIC: an open source software for high-dimensional and big data analyses

Patryk Orzechowski, Jason H Moore, J. Moore, 2019, Bioinform..

Spatial Pyramid Pooling With 3D Convolution Improves Lung Cancer Detection

Xiuzhen Huang, Wei Dong, Keyu Li, 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Ten simple rules for writing a paper about scientific software

Jason H Moore, Joseph D Romano, 2020, PLoS computational biology.

Bioinformatics: what the clinical laboratorian needs to know and prepare for.

Tina Hambuch, Jason H Moore, Gregory J Tsongalis, 2013, Clinical chemistry.

An augmented estimation procedure for EHR-based association studies accounting for differential misclassification

Jing Huang, Rebecca A Hubbard, Jason H Moore, 2019, J. Am. Medical Informatics Assoc..

A flexible computational framework for detecting, characterizing, and interpreting statistical patterns of epistasis in genetic studies of human disease susceptibility.

Todd Holden, Bill C White, Jason H Moore, 2006, Journal of theoretical biology.

Accelerating epistasis analysis in human genetics with consumer graphics hardware

Fabio Cancare, Nicholas A. Sinnott-Armstrong, Casey S Greene, 2009, BMC Research Notes.

On meta‐ and mega‐analyses for gene–environment interactions

Jing Huang, Paul Scheet, Yong Chen, 2017, Genetic epidemiology.

Embracing study heterogeneity for finding genetic interactions in large‐scale research consortia

Jing Huang, Elisabetta Manduchi, Casey S Greene, 2019, Genetic epidemiology.

Epistasis analysis using information theory.

Ting Hu, Jason H Moore, Ting Hu, 2015, Methods in molecular biology.

PLATO software provides analytic framework for investigating complexity beyond genome-wide association studies

Anurag Verma, Peggy L Peissig, Anastasia Lucas, 2017, Nature Communications.

DNAp: A Pipeline for DNA-seq Data Analysis

Xiuzhen Huang, Yuanfang Guan, Jason H Moore, 2018, Scientific Reports.

Epistasis analysis using artificial intelligence.

Jason H Moore, Doug P Hill, 2015, Methods in molecular biology.

Evaluating recommender systems for AI-driven biomedical informatics.

Weixuan Fu, Jason H Moore, Steve Vitale, 2020, Bioinformatics.

Regional imaging genetic enrichment analysis

Jingwen Yan, Xiaohui Yao, Shan Cong, 2019, Bioinform..

Characterizing and Managing Missing Structured Data in Electronic Health Records: Data Analysis

Brett K. Beaulieu-Jones, Daniel R. Lavage, Jason H Moore, 2017, bioRxiv.

Case contamination in electronic health records based case‐control studies

Rebecca A Hubbard, Jason H Moore, Jinbo Chen, 2020, Biometrics.

Testing the assumptions of parametric linear models: the need for biological data mining in disciplines such as human genetics

Scott M. Williams, Scott M Williams, Jason H Moore, 2019, BioData Mining.

Symbolic Modeling of Epistasis

Jiang Gui, Bill C White, Jason H Moore, 2007, Human Heredity.

Big Data Bioinformatics

Jie Tan, Casey S Greene, Jason H Moore, 2014, Journal of cellular physiology.

Scaling tree-based automated machine learning to biomedical big data with a feature set selector

Trang T. Le, Weixuan Fu, Jason H Moore, 2019, Bioinform..

A Robust Multifactor Dimensionality Reduction Method for Detecting Gene–Gene Interactions with Application to the Genetic Analysis of Bladder Cancer Susceptibility

Jiang Gui, Jason H Moore, Margaret R Karagas, 2011, Annals of human genetics.

Learning from electronic health records across multiple sites: A communication-efficient and privacy-preserving distributed algorithm

Zixuan Liu, Mary Regina Boland, Martijn J Schuemie, 2019, J. Am. Medical Informatics Assoc..

Genetic Simulation Tools for Post‐Genome Wide Association Studies of Complex Diseases

Bo Peng, Vineet Bafna, Chun Li, 2015, Genetic epidemiology.

Translational Bioinformatics: Biobanks in the Precision Medicine Era.

Ju Han Kim, Marylyn D Ritchie, Jason H Moore, 2020, Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing.

Basic Statistics

Marylyn D Ritchie, Jason H Moore, Tricia A Thornton, 2003, Current protocols in human genetics.

Preparing next-generation scientists for biomedical big data: artificial intelligence approaches.

Mary Regina Boland, Blanca E Himes, John H Holmes, 2019, Personalized medicine.

Epistasis analysis using ReliefF.

Jason H Moore, J. Moore, 2015, Methods in molecular biology.

A maximum likelihood approach to electronic health record phenotyping using positive and unlabeled patients

Naveen Muthu, Yanyuan Ma, Jason H Moore, 2019, J. Am. Medical Informatics Assoc..

Computational analysis of gene-gene interactions using multifactor dimensionality reduction

Jason H Moore, J. Moore, 2004, Expert review of molecular diagnostics.

Reading Between the Genes: Computational Models to Discover Function from Noncoding DNA.

Joanne Berghout, Maricel Kann, Francesca Vitali, 2018, Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing.

Visual analysis of statistical results from microarray studies of human breast cancer.

Jason H Moore, David M Reif, 2006, Oncology reports.

Model selection for metabolomics: predicting diagnosis of coronary artery disease using automated machine learning

Jason H Moore, Alena Orlenko, Terho Lehtimäki, 2019, Bioinform..

Epistasis analysis using multifactor dimensionality reduction.

Jason H Moore, Peter C. Andrews, Peter C Andrews, 2015, Methods in molecular biology.

Scalable biclustering — the future of big data exploration?

Patryk Orzechowski, Jason H Moore, Krzysztof Boryczko, 2019, GigaScience.

A screening-testing approach for detecting gene-environment interactions using sequential penalized and unpenalized multiple logistic regression.

Jason H Moore, Margaret R Karagas, Angeline S Andrew, 2014, Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing.

Optimization of neural network architecture using genetic programming improves detection and modeling of gene-gene interactions in studies of human diseases

Bill C White, Jason H Moore, Joel S Parker, 2003, BMC Bioinformatics.

treeheatr: an R package for interpretable decision tree visualizations.

Jason H Moore, Trang T Le, 2020, Bioinformatics.