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Biodata Mining|December 24, 2015
Functional dyadicity and heterophilicity of gene-gene interactions in statistical epistasis networksTing Hu, Angeline S Andrew, Margaret R Karagas, et al.Genetic Epidemiology|May 4, 2021
The Translational Machine: A novel machine-learning approach to illuminate complex genetic architecturesKathleen D Askland, David Strong, Marvin N Wright, et al.Trends in Genetics : TIG|April 7, 2012
Pathway analysis of genomic data: concepts, methods, and prospects for future developmentVijay K Ramanan, Li Shen, Jason H Moore, et al.Biodata Mining|September 24, 2009
Spatially uniform relieff (SURF) for computationally-efficient filtering of gene-gene interactionsCasey S Greene, Nadia M Penrod, Jeff Kiralis, et al.Biodata Mining|December 22, 2016
Complex systems analysis of bladder cancer susceptibility reveals a role for decarboxylase activity in two genome-wide association studiesSamantha Cheng, Angeline S Andrew, Peter C Andrews, et al.Genetic Programming and Evolvable Machines|August 7, 2025
TPOT-NN: augmenting tree-based automated machine learning with neural network estimatorsJoseph D Romano, Trang T Le, Weixuan Fu, et al.Patterns (New York, N.Y.)|September 10, 2025
The tree-based pipeline optimization tool: Tackling biomedical research problems with genetic programming and automated machine learningJose Guadalupe Hernandez, Anil Kumar Saini, Attri Ghosh, et al.Current Pharmaceutical Design|July 23, 2003
Gene expression profiles in human autoimmune diseaseThomas M Aune, Kevin Maas, Jason H Moore, et al.Chemical Research in Toxicology|July 12, 2022
Automating Predictive Toxicology Using ComptoxAIJoseph D Romano, Yun Hao, Jason H Moore, et al.Biodata Mining|July 20, 2019
Exploration of a diversity of computational and statistical measures of association for genome-wide genetic studiesElisabetta Manduchi, Patryk R Orzechowski, Marylyn D Ritchie, et al.Pageof 50