| High performance computing enabling exhaustive analysis of higher order single nucleotide polymorphism interaction in Genome Wide Association Studies B Goudey, M Abedini, JL Hopper, M Inouye, E Makalic, DF Schmidt, ... Health information science and systems 3, 1-11, 2015 | 37 | 2015 |
| Comparative exomics of Phalariscultivars under salt stress N Haiminen, M Klaas, Z Zhou, F Utro, P Cormican, T Didion, CS Jensen, ... BMC genomics 15, 1-12, 2014 | 18 | 2014 |
| Supercomputing enabling exhaustive statistical analysis of genome wide association study data: Preliminary results M Reumann, E Makalic, BW Goudey, M Inouye, A Bickerstaffe, M Bui, ... 2012 Annual International Conference of the IEEE Engineering in Medicine and …, 2012 | 10 | 2012 |
| Use of a novel nonparametric version of DEPTH to identify genomic regions associated with prostate cancer risk RJ MacInnis, DF Schmidt, E Makalic, G Severi, LM FitzGerald, ... Cancer Epidemiology, Biomarkers & Prevention 25 (12), 1619-1624, 2016 | 7 | 2016 |
| Information theoretic alignment free variant calling J Bedo, B Goudey, J Wazny, Z Zhou PeerJ Computer Science 2, e71, 2016 | 1 | 2016 |
| Statistical testing and selection by re-sampling in genome-wide association studies Z Zhou The University of Melbourne, 2016 | | 2016 |
| On Generalised Additive Model Using MCMC Model Selection and Simulated Annealing Z Zhou | | 2011 |
Matthias ReumannIBME-mail confirmado em connected-health-insights.com
