Resources

Our lab aims to inspire younger generations of budding statisticians, data analysts and computational biologists to advance the field of computational biostatistics.

All our members use GitHub and thrive for reproducible research, see:

• https://github.com/ajabadi
• https://github.com/EvaYiwenWang
• https://github.com/abodein/timeOmics
• https://github.com/ivirshup
• https://github.com/mixOmicsTeam
• https://github.com/SarithaKodikara
• https://github.com/meiosis97/Sincast

Current

2020 – Handbook about multivariate projection-based methods and how to apply them using mixOmics to integrate biological data.

2020 – A 6-week online course ‘mixOmics R Essentials for Biological Data Integration’ that will be run once or twice a year (first iteration was in Nov 2020).

2019 – We have developed a 16-week online course opened for University of Melbourne students called ‘Data fundamentals’ with Dr Sue Finch (Statistical Consulting Centre, School of Mathematics and Statistics). The course is opened every trimester. Have a look at this page if you wish to register, it is a fun course to learn how to work with data.

Since 2014 – We teach specialised workshops to introduce key concepts in multivariate statistics, with applications using the R software mixOmics. Our mixOmics web page provides numerous tutorials to apply the different multivariate integrative methods implemented in mixOmics.

Past

We taught introductory statistics ‘Statistics for frightened bioresearchers’ lecture materials can be found here.