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Rafal Kustra

Affiliations: 
Dalla Lana School of Public Health University of Toronto, Toronto, ON, Canada 
Area:
Biostatistics Biology, Statistics, Computer Science
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"Rafal Kustra"
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Matthew Kowgier grad student 2012 University of Toronto
Billy H. Chang grad student 2014 University of Toronto

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Vavvas DG, Small KW, Awh CC, et al. (2018) CFH and ARMS2 genetic risk determines progression to neovascular age-related macular degeneration after antioxidant and zinc supplementation. Proceedings of the National Academy of Sciences of the United States of America
Chang B, Kustra R, Tian W. (2013) Functional-network-based gene set analysis using gene-ontology. Plos One. 8: e55635
Hawken SJ, Greenwood CM, Hudson TJ, et al. (2010) The utility and predictive value of combinations of low penetrance genes for screening and risk prediction of colorectal cancer. Human Genetics. 128: 89-101
Arshadi N, Chang B, Kustra R. (2009) Predictive modeling in case-control single-nucleotide polymorphism studies in the presence of population stratification: a case study using Genetic Analysis Workshop 16 Problem 1 dataset. Bmc Proceedings. 3: S60
Kowgier M, Kustra R. (2009) Continuous-time hidden Markov models for the copy number analysis of genotyping arrays Proceedings of the Iadis European Conference On Data Mining 2009, Ecdm'09 Part of the Iadis Multi Conference On Computer Science and Information Systems, McCsis 2009. 43-49
Tenesa A, Farrington SM, Prendergast JG, et al. (2008) Genome-wide association scan identifies a colorectal cancer susceptibility locus on 11q23 and replicates risk loci at 8q24 and 18q21. Nature Genetics. 40: 631-7
Kustra R, Shi X, Murdoch DJ, et al. (2008) Efficient p-value estimation in massively parallel testing problems. Biostatistics (Oxford, England). 9: 601-12
Kustra R, Shioda R, Zhu M. (2006) A factor analysis model for functional genomics. Bmc Bioinformatics. 7: 216
Strother SC, Anderson J, Hansen LK, et al. (2002) The quantitative evaluation of functional neuroimaging experiments: the NPAIRS data analysis framework. Neuroimage. 15: 747-71
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