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International Journal of Epidemiology|April 17, 2018
An open-source, integrated pedigree data management and visualization tool for genetic epidemiologyThilina Ranaweera, Enes Makalic, John L Hopper, et al.
Bioinformatics (Oxford, England)|December 23, 2016
The Ark: a customizable web-based data management tool for health and medical researchAdrian Bickerstaffe, Thilina Ranaweera, Travis Endersby, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|February 1, 2013
Supercomputing enabling exhaustive statistical analysis of genome wide association study data: Preliminary resultsMatthias Reumann, Enes Makalic, Benjamin W Goudey, et al.
Breast Cancer Research : BCR|August 30, 2012
Tumour morphology of early-onset breast cancers predicts breast cancer risk for first-degree relatives: the Australian Breast Cancer Family RegistryGillian S Dite, Enes Makalic, Daniel F Schmidt, et al.
Plos One|December 2, 2022
Polygenic risk scores for cardiovascular diseases and type 2 diabetesChi Kuen Wong, Enes Makalic, Gillian S Dite, et al.
Breast Cancer Research and Treatment|February 25, 2016
iPrevent®: a tailored, web-based, decision support tool for breast cancer risk assessment and managementIan M Collins, Adrian Bickerstaffe, Thilina Ranaweera, et al.
Entropy (Basel, Switzerland)|June 26, 2026
Information Geometry and Asymptotic Theory for SMML EstimatorsEnes Makalic, Daniel F Schmidt
Entropy (Basel, Switzerland)|November 27, 2021
Minimum Message Length Inference of the Exponential Distribution with Type I CensoringEnes Makalic, Daniel Francis Schmidt
Health Information Science and Systems|April 15, 2015
High performance computing enabling exhaustive analysis of higher order single nucleotide polymorphism interaction in Genome Wide Association StudiesBenjamin Goudey, Mani Abedini, John L Hopper, et al.
Journal of Clinical Medicine|March 1, 2020
Going Beyond Conventional Mammographic Density to Discover Novel Mammogram-Based Predictors of Breast Cancer RiskJohn L Hopper, Tuong L Nguyen, Daniel F Schmidt, et al.
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