Alison A. Motsinger-Reif

发表

Multivariate methods and software for association mapping in dose‐response genome‐wide association studies

Chad C. Brown, Tammy M. Havener, Marisa Wong Medina, 2012, BioData Mining.

Grammatical Evolution Decision Trees for Detecting Gene-Gene Interactions

Alison A. Motsinger-Reif, Sushamna Deodhar, 2010, EvoBIO.

Genetic programming neural networks: A powerful bioinformatics tool for human genetics

Jason H. Moore, Marylyn D. Ritchie, William S. Bush, 2007, Appl. Soft Comput..

Understanding the Evolutionary Process of Grammatical Evolution Neural Networks for Feature Selection in Genetic Epidemiology

Marylyn D. Ritchie, David M. Reif, Scott M. Dudek, 2006, 2006 IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology.

Alternative cross-over strategies and selection techniques for grammatical evolution optimized neural networks

Lance W. Hahn, Marylyn D. Ritchie, Scott M. Dudek, 2006, GECCO '06.

Statistical Applications in Genetics and Molecular Biology A Comparison of Multifactor Dimensionality Reduction and L1-Penalized Regression to Identify Gene-Gene Interactions in Genetic

Alison A. Motsinger-Reif, Chong Wang, Stacey J. Winham, 2011 .

Gene set analysis methods: a systematic comparison

Ali Shojaie, Ravi Mathur, Alison A. Motsinger-Reif, 2018, BioData Mining.

Bayesian neural networks for detecting epistasis in genetic association studies

Jon Doyle, Andrew L. Beam, Alison A. Motsinger-Reif, 2014, BMC Bioinformatics.

Same-Species Contamination Detection with Variant Calling Information from Next Generation Sequencing

Tao Jiang, Alison A. Motsinger-Reif, Martin Buchkovich, 2019, bioRxiv.

Can Neural Network Constraints in GP Provide Power to Detect Genes Associated with Human Disease?

Marylyn D. Ritchie, William S. Bush, Scott M. Dudek, 2005, EvoWorkshops.

Multifactor Dimensionality Reduction as a Filter-Based Approach for Genome Wide Association Studies

Alison A. Motsinger-Reif, Noffisat O. Oki, A. Motsinger-Reif, 2011, Front. Gene..

Knockoff boosted tree for model-free variable selection

Tao Jiang, Alison A. Motsinger-Reif, Yuanyuan Li, 2020, Bioinform..

Nonlinear Dose–Response Modeling of High-Throughput Screening Data Using an Evolutionary Algorithm

Alison A. Motsinger-Reif, Eric Bair, Jun Ma, 2020, Dose-response : a publication of International Hormesis Society.

A comparison of GE optimized neural networks and decision trees

David M. Reif, Alison A. Motsinger-Reif, Kristopher Hoover, 2012, GECCO '12.

Identifying individual risk rare variants using protein structure-guided local tests (POINT)

Wenbin Lu, Alison A. Motsinger-Reif, Denis Fourches, 2018, bioRxiv.

Software for genome-wide association studies having multivariate responses: Introducing MAGWAS

Alison A. Motsinger-Reif, Chad C. Brown, 2012 .

An R package implementation of multifactor dimensionality reduction

Alison A. Motsinger-Reif, Stacey J. Winham, A. Motsinger-Reif, 2011, BioData Mining.

Grammatical evolution support vector machines for predicting human genetic disease association

Skylar W. Marvel, Alison A. Motsinger-Reif, 2012, GECCO '12.

Feature Selection using a Random Forests Classifier for the Integrated Analysis of Multiple Data Types

Jason H. Moore, David M. Reif, Brett A. McKinney, 2006, 2006 IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology.

Software for detecting gene-gene interactions using Multifactor Dimensionality Reduction: Introducing the R package MDR

Alison A. Motsinger-Reif, Stacey J. Winham, 2010 .

A balanced accuracy fitness function leads to robust analysis using grammatical evolution neural networks in the case of class imbalance

Marylyn D. Ritchie, David M. Reif, Scott M. Dudek, 2008, GECCO '08.

GPNN: Power studies and applications of a neural network method for detecting gene-gene interactions in studies of human disease

Marylyn D. Ritchie, Alison A. Motsinger-Reif, Stephen L. Lee, 2006, BMC Bioinformatics.

Linkage Disequilibrium in Genetic Association Studies Improves the Performance of Grammatical Evolution Neural Networks

Marylyn D. Ritchie, David M. Reif, Alison A. Motsinger-Reif, 2007, 2007 IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology.

Global tests of P-values for multifactor dimensionality reduction models in selection of optimal number of target genes

J. Steven Leeder, Alison A. Motsinger-Reif, Madhusudan Bhandary, 2012, BioData Mining.

GECCO ’14: Proceedings of the 2014 conference on Genetic and evolutionary computation

Julian Togelius, Christine Zarges, Hitoshi Iba, 2014 .

An investigation of gene-gene interactions in dose-response studies with Bayesian nonparametrics

Jon Doyle, Andrew L. Beam, Alison A. Motsinger-Reif, 2015, BioData Mining.

Identifying individual risk rare variants using protein structure guided local tests (POINT)

Jung-Ying Tzeng, Wenbin Lu, Alison A. Motsinger-Reif, 2019, PLoS Comput. Biol..

A comparison of internal validation techniques for multifactor dimensionality reduction

Alison A. Motsinger-Reif, A. J. Slater, Stacey J. Winham, 2010, BMC Bioinformatics.

Data Simulation Software for Whole-Genome Association and Other Studies in Human Genetics

Marylyn D. Ritchie, Scott M. Dudek, Alison A. Motsinger-Reif, 2005, Pacific Symposium on Biocomputing.

An adaptive permutation approach for genome-wide association study: evaluation and recommendations for use

Chad C. Brown, Alison A. Motsinger-Reif, Chad C. Brown, 2014, BioData Mining.

Optimization of grammatical evolution decision trees

David M. Reif, Alison A. Motsinger-Reif, Kristopher Hoover, 2011, GECCO '11.

PGxClean: a quality control GUI for the Affymetrix DMET chip and other candidate gene studies with non-biallelic alleles

Alison A. Motsinger-Reif, Scott Clark, John R. Jack, 2014, BioData Mining.

Risk score modeling of multiple gene to gene interactions using aggregated-multifactor dimensionality reduction

J. Steven Leeder, Alison A. Motsinger-Reif, Hongying Dai, 2013, BioData Mining.

Grammatical evolution decision trees for detecting gene-gene interactions

Alison A. Motsinger-Reif, Sushamna Deodhar, Stacey J. Winham, 2010, BioData Mining.

Risk Factor Interactions and Genetic Effects Associated with Post-Operative Atrial Fibrillation

Nancy J. Brown, Marylyn D. Ritchie, Dan M. Roden, 2005, Pacific Symposium on Biocomputing.

Neural networks for genetic epidemiology: past, present, and future

Marylyn D. Ritchie, Alison A. Motsinger-Reif, M. Ritchie, 2008, BioData Mining.

The power of quantitative grammatical evolution neural networks to detect gene-gene interactions

Alison A. Motsinger-Reif, Nicholas E. Hardison, A. Motsinger-Reif, 2011, GECCO '11.

Comparison of Neural Network Optimization Approaches for Studies of Human Genetics

Lance W. Hahn, Marylyn D. Ritchie, Scott M. Dudek, 2006, EvoWorkshops.

Same-species Contamination Detection With Variant Calling Information From Next-generation Sequencing

Alison A. Motsinger-Reif, Martin Buchkovich, Tao Jiang, 2021 .

An Introduction to Terminology and Methodology of Chemical Synergy—Perspectives from Across Disciplines

David M. Reif, Alison A. Motsinger-Reif, A. Motsinger-Reif, 2017, Front. Pharmacol..

Twice-Daily Application of HIV Microbicides Alters the Vaginal Microbiota

Alison A. Motsinger-Reif, Jacques Ravel, P. Gajer, 2012, mBio.

Evaluation of genetic risk score models in the presence of interaction and linkage disequilibrium

Alison A. Motsinger-Reif, A. Motsinger-Reif, R. Che, 2013, Front. Genet..

Variation in the Glucose Transporter gene SLC2A2 is associated with glycaemic response to metformin

Mark I. McCarthy, Alison A. Motsinger-Reif, John S. Witte, 2016, Nature Genetics.

Population-Based in Vitro Hazard and Concentration–Response Assessment of Chemicals: The 1000 Genomes High-Throughput Screening Study

Ruili Huang, Menghang Xia, Christopher P. Austin, 2015, Environmental health perspectives.