| Characterizing genetic interactions in human disease association studies using statistical epistasis networks T Hu, NA Sinnott-Armstrong, JW Kiralis, AS Andrew, MR Karagas, ... BMC bioinformatics 12 (1), 364, 2011 | 106 | 2011 |
| An information-gain approach to detecting three-way epistatic interactions in genetic association studies T Hu, Y Chen, JW Kiralis, RL Collins, C Wejse, G Sirugo, SM Williams, ... Journal of the American Medical Informatics Association 20 (4), 630-636, 2013 | 53 | 2013 |
| Evolvability and speed of evolutionary algorithms in light of recent developments in biology T Hu, W Banzhaf Journal of Artificial Evolution and Applications, ID:568375, 2010 | 44 | 2010 |
| Multifactor dimensionality reduction reveals a three-locus epistatic interaction associated with susceptibility to pulmonary tuberculosis RL Collins, T Hu, C Wejse, G Sirugo, SM Williams, JH Moore BioData mining 6 (1), 4, 2013 | 35 | 2013 |
| ViSEN: Methodology and Software for Visualization of Statistical Epistasis Networks T Hu, Y Chen, JW Kiralis, JH Moore Genetic Epidemiology 37 (3), 283-285, 2013 | 34 | 2013 |
| Variable population size and evolution acceleration: a case study with a parallel evolutionary algorithm T Hu, S Harding, W Banzhaf Genetic Programming and Evolvable Machines 11 (2), 205-225, 2010 | 31 | 2010 |
| Genetic polymorphisms modify bladder cancer recurrence and survival in a USA population‐based prognostic study AS Andrew, J Gui, T Hu, A Wyszynski, CJ Marsit, KT Kelsey, AR Schned, ... BJU international 115 (2), 238-247, 2015 | 27 | 2015 |
| Interaction among apoptosis-associated sequence variants and joint effects on aggressive prostate cancer NA Lavender, EN Rogers, S Yeyeodu, J Rudd, T Hu, J Zhang, GN Brock, ... BMC medical genomics 5 (1), 11, 2012 | 27 | 2012 |
| Evolutionary dynamics on multiple scales: a quantitative analysis of the interplay between genotype, phenotype, and fitness in linear genetic programming T Hu, JL Payne, W Banzhaf, JH Moore Genetic Programming and Evolvable Machines 13 (3), 305-337, 2012 | 24 | 2012 |
| Nonsynonymous to Synonymous Substitution Ratio : Measurement for Rate of Evolution in Evolutionary Computation T Hu, W Banzhaf International Conference on Parallel Problem Solving from Nature, 448-457, 2008 | 20 | 2008 |
| Epistasis, complexity, and multifactor dimensionality reduction Q Pan, T Hu, JH Moore Genome-wide association studies and genomic prediction, 465-477, 2013 | 19 | 2013 |
| Statistical epistasis networks reduce the computational complexity of searching three-locus genetic models T Hu, AS Andrew, MR Karagas, JH Moore Pacific Symposium on Biocomputing (PSB) 18, 397-408, 2013 | 19 | 2013 |
| Robustness, evolvability, and accessibility in linear genetic programming T Hu, J Payne, W Banzhaf, J Moore Proceedings of the 14th European Conference on Genetic Programming, 13-24, 2011 | 18 | 2011 |
| Neutrality and variability: two sides of evolvability in linear genetic programming T Hu, W Banzhaf Proceedings of the 11th Annual conference on Genetic and evolutionary …, 2009 | 18 | 2009 |
| HSD3B and gene-gene interactions in a pathway-based analysis of genetic susceptibility to bladder cancer AS Andrew, T Hu, J Gu, J Gui, Y Ye, CJ Marsit, KT Kelsey, AR Schned, ... PLoS One 7 (12), 2012 | 17 | 2012 |
| WiMAX network planning using adaptive-population-size genetic algorithm T Hu, YP Chen, W Banzhaf European Conference on the Applications of Evolutionary Computation, 31-40, 2010 | 17 | 2010 |
| Characterizing gene-gene interactions in a statistical epistasis network of twelve candidate genes for obesity R De, T Hu, JH Moore, D Gilbert-Diamond BioData mining 8 (1), 45, 2015 | 16 | 2015 |
| The role of population size in rate of evolution in genetic programming T Hu, W Banzhaf Proceedings of the 12th European Conference on Genetic Programming, 85-96, 2009 | 16 | 2009 |
| A system‐level pathway‐phenotype association analysis using synthetic feature random forest Q Pan, T Hu, JD Malley, AS Andrew, MR Karagas, JH Moore Genetic epidemiology 38 (3), 209-219, 2014 | 15 | 2014 |
| Machine learning-based fault diagnosis for single-and multi-faults in induction motors using measured stator currents and vibration signals MZ Ali, MNSK Shabbir, X Liang, Y Zhang, T Hu IEEE Transactions on Industry Applications 55 (3), 2378-2391, 2019 | 14 | 2019 |
Jason H. MooreProfessor and Director, Institute for Biomedical Informatics, University of PennsylvaniaVerified email at upenn.edu
