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Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|February 21, 2013
Statistical epistasis networks reduce the computational complexity of searching three-locus genetic modelsTing Hu, Angeline S Andrew, Margaret R Karagas, et al.
Biology of Sex Differences|January 24, 2026
Integrative microRNA and transcriptome analysis reveals sex-specific molecular divergence in human bladder cancerYizhou Wang, Priyanka Bhandary, Jason H Moore, et al.
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.
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