Ting Hu
Ting Hu
Assistant Professor at the School of Computing, Queen's University, Canada
Verified email at queensu.ca - Homepage
TitleCited byYear
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
992011
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
492013
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
452010
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
352013
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
322013
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
292010
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
272012
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
252015
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
232012
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
192013
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), e51301, 2012
172012
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
172011
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
172008
Epistasis, complexity, and multifactor dimensionality reduction
Q Pan, T Hu, JH Moore
Genome-Wide Association Studies and Genomic Prediction, 465-477, 2013
162013
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
162009
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
152010
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
152009
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
142015
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
142014
A new dynamical evolutionary algorithm based on the principle of minimal free energy
T Hu, Y Li, W Ding
Progress in Intelligence Computation and Applications 2, 749, 2005
142005
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Articles 1–20