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ORCIDAlison A. Motsinger-Reif
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Journal Articles
- 2024
[j21]Ziyue Wang, Dillon Lloyd, Shanshan Zhao, Alison A. Motsinger-Reif:
Taxanorm: a novel taxa-specific normalization approach for microbiome data. BMC Bioinform. 25(1): 304 (2024)- [j20]Lauren E. Chan
, Elena Casiraghi, Justin T. Reese, Quaker E. Harmon, Kevin Schaper, Harshad Hegde, Giorgio Valentini, Charles Schmitt, Alison A. Motsinger-Reif, Janet E. Hall, Christopher J. Mungall, Peter N. Robinson, Melissa A. Haendel:
Predicting nutrition and environmental factors associated with female reproductive disorders using a knowledge graph and random forests. Int. J. Medical Informatics 187: 105461 (2024) - 2022
- [j19]Benedict Anchang, Raul Mendez-Giraldez, Xiaojiang Xu, Trevor K. Archer, Qing Chen, Guang Hu, Sylvia K. Plevritis, Alison Anne Motsinger-Reif, Jian-Liang Li:
Visualization, benchmarking and characterization of nested single-cell heterogeneity as dynamic forest mixtures. Briefings Bioinform. 23(2) (2022) - 2021
- [j18]Jun Ma, Alison A. Motsinger-Reif:
Prediction of synergistic drug combinations using PCA-initialized deep learning. BioData Min. 14(1) (2021) - [j17]Tao Jiang, Yuanyuan Li, Alison A. Motsinger-Reif:
Knockoff boosted tree for model-free variable selection. Bioinform. 37(7): 976-983 (2021) - 2019
- [j16]Jeremy R. Ash, Mélaine A. Kuenemann, Daniel M. Rotroff, Alison A. Motsinger-Reif, Denis Fourches:
Cheminformatics approach to exploring and modeling trait-associated metabolite profiles. J. Cheminformatics 11(1): 43:1-43:15 (2019) - [j15]Rachel Marceau West, Wenbin Lu, Daniel M. Rotroff, Mélaine A. Kuenemann, Sheng-Mao Chang, Michael C. Wu, Michael J. Wagner, John B. Buse, Alison A. Motsinger-Reif, Denis Fourches, Jung-Ying Tzeng:
Identifying individual risk rare variants using protein structure guided local tests (POINT). PLoS Comput. Biol. 15(2) (2019) - 2018
- [j14]Ravi Mathur, Daniel M. Rotroff, Jun Ma, Ali Shojaie, Alison A. Motsinger-Reif:
Gene set analysis methods: a systematic comparison. BioData Min. 11(1): 8:1-8:19 (2018) - 2015
- [j13]Andrew L. Beam, Alison A. Motsinger-Reif, Jon Doyle:
An investigation of gene-gene interactions in dose-response studies with Bayesian nonparametrics. BioData Min. 8: 6 (2015) - 2014
- [j12]Ronglin Che, John R. Jack, Alison A. Motsinger-Reif, Chad C. Brown:
An adaptive permutation approach for genome-wide association study: evaluation and recommendations for use. BioData Min. 7: 9 (2014) - [j11]Daniel M. Rotroff, John R. Jack, Nathan Campbell, Scott Clark, Alison A. Motsinger-Reif:
PGxClean: a quality control GUI for the Affymetrix DMET chip and other candidate gene studies with non-biallelic alleles. BioData Min. 7: 24 (2014) - [j10]Andrew L. Beam, Alison A. Motsinger-Reif, Jon Doyle:
Bayesian neural networks for detecting epistasis in genetic association studies. BMC Bioinform. 15: 368 (2014) - 2013
- [j9]Hongying Dai, Richard J. Charnigo, Mara Becker, J. Steven Leeder, Alison A. Motsinger-Reif:
Risk score modeling of multiple gene to gene interactions using aggregated-multifactor dimensionality reduction. BioData Min. 6: 1 (2013) - 2012
- [j8]Hongying Dai, Madhusudan Bhandary, Mara Becker, J. Steven Leeder, Roger Gaedigk, Alison A. Motsinger-Reif:
Global tests of P-values for multifactor dimensionality reduction models in selection of optimal number of target genes. BioData Min. 5: 3 (2012) - [j7]Chad C. Brown, Tammy M. Havener, Marisa Wong Medina, Ronald M. Krauss, Howard L. McLeod, Alison A. Motsinger-Reif:
Multivariate methods and software for association mapping in dose-response genome-wide association studies. BioData Min. 5: 21 (2012) - 2011
- [j6]Stacey J. Winham, Alison A. Motsinger-Reif:
An R package implementation of multifactor dimensionality reduction. BioData Min. 4: 24 (2011) - 2010
- [j5]Alison A. Motsinger-Reif, Sushamna Deodhar, Stacey J. Winham, Nicholas E. Hardison:
Grammatical evolution decision trees for detecting gene-gene interactions. BioData Min. 3: 8 (2010) - [j4]Stacey J. Winham, Andrew J. Slater, Alison A. Motsinger-Reif:
A comparison of internal validation techniques for multifactor dimensionality reduction. BMC Bioinform. 11: 394 (2010) - 2008
- [j3]Alison A. Motsinger-Reif, Marylyn D. Ritchie:
Neural networks for genetic epidemiology: past, present, and future. BioData Min. 1 (2008) - 2007
- [j2]Marylyn D. Ritchie, Alison A. Motsinger, William S. Bush, Christopher S. Coffey, Jason H. Moore:
Genetic programming neural networks: A powerful bioinformatics tool for human genetics. Appl. Soft Comput. 7(1): 471-479 (2007) - 2006
- [j1]Alison A. Motsinger, Stephen L. Lee, George Mellick, Marylyn D. Ritchie:
GPNN: Power studies and applications of a neural network method for detecting gene-gene interactions in studies of human disease. BMC Bioinform. 7: 39 (2006)
Conference and Workshop Papers
- 2012
- [c14]Skylar W. Marvel, Alison A. Motsinger-Reif:
Grammatical evolution support vector machines for predicting human genetic disease association. GECCO (Companion) 2012: 595-598 - [c13]Kristopher Hoover, Rachel Marceau, Tyndall Harris, David M. Reif, Alison A. Motsinger-Reif:
A comparison of GE optimized neural networks and decision trees. GECCO (Companion) 2012: 611-614 - 2011
- [c12]Kristopher Hoover, Rachel Marceau, Tyndall Harris, Nicholas E. Hardison, David M. Reif, Alison A. Motsinger-Reif:
Optimization of grammatical evolution decision trees. GECCO (Companion) 2011: 35-36 - [c11]Nicholas E. Hardison, Alison A. Motsinger-Reif:
The power of quantitative grammatical evolution neural networks to detect gene-gene interactions. GECCO 2011: 299-306 - 2010
- [c10]Sushamna Deodhar, Alison A. Motsinger-Reif:
Grammatical Evolution Decision Trees for Detecting Gene-Gene Interactions. EvoBIO 2010: 98-109 - 2008
- [c9]Nicholas E. Hardison, Theresa J. Fanelli, Scott M. Dudek, David M. Reif, Marylyn D. Ritchie, Alison A. Motsinger-Reif:
A balanced accuracy fitness function leads to robust analysis using grammatical evolution neural networks in the case of class imbalance. GECCO 2008: 353-354 - 2007
- [c8]Alison A. Motsinger, David M. Reif, Theresa J. Fanelli, Anna C. Davis, Marylyn D. Ritchie:
Linkage Disequilibrium in Genetic Association Studies Improves the Performance of Grammatical Evolution Neural Networks. CIBCB 2007: 1-8 - 2006
- [c7]Alison A. Motsinger, David M. Reif, Scott M. Dudek, Marylyn D. Ritchie:
Understanding the Evolutionary Process of Grammatical Evolution Neural Networks for Feature Selection in Genetic Epidemiology. CIBCB 2006: 1-8 - [c6]David M. Reif, Alison A. Motsinger, Brett A. McKinney, James E. Crowe Jr., Jason H. Moore:
Feature Selection using a Random Forests Classifier for the Integrated Analysis of Multiple Data Types. CIBCB 2006: 1-8 - [c5]Alison A. Motsinger, Scott M. Dudek, Lance W. Hahn, Marylyn D. Ritchie:
Comparison of Neural Network Optimization Approaches for Studies of Human Genetics. EvoWorkshops 2006: 103-114 - [c4]Alison A. Motsinger, Lance W. Hahn, Scott M. Dudek, Kelli K. Ryckman, Marylyn D. Ritchie:
Alternative cross-over strategies and selection techniques for grammatical evolution optimized neural networks. GECCO 2006: 947-948 - [c3]Scott M. Dudek, Alison A. Motsinger, Digna R. Velez, Scott M. Williams, Marylyn D. Ritchie:
Data Simulation Software for Whole-Genome Association and Other Studies in Human Genetics. Pacific Symposium on Biocomputing 2006: 499-510 - [c2]Alison A. Motsinger, Brian S. Donahue, Nancy J. Brown, Dan M. Roden, Marylyn D. Ritchie:
Risk Factor Interactions and Genetic Effects Associated with Post-Operative Atrial Fibrillation. Pacific Symposium on Biocomputing 2006: 584-595 - 2005
- [c1]William S. Bush, Alison A. Motsinger, Scott M. Dudek, Marylyn D. Ritchie:
Can Neural Network Constraints in GP Provide Power to Detect Genes Associated with Human Disease?. EvoWorkshops 2005: 44-53
Coauthor Index
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