R for data science
Organizer: Computational Biology Facility
Host institution: University of Liverpool
Start: Tuesday, 31 March 2020 @ 09:00
End: Friday, 03 April 2020 @ 17:00
Contact: Computational Biology Facility (firstname.lastname@example.org)
Venue: University of Liverpool
Country: United Kingdom
Postcode: L69 3GH
Scientific topic: Statistics and probability, BioinformaticsDescription:
The course covered content for these learning objectives:
To write your own custom functions To use for loops, apply functions and if statements To analyse large matrices of data in a semi-automated way To normalise data To quantify and correct batch effect To undertake the most common clustering algorithms including k-means and hierarchical To perform variable selection and present these results in different plots including heatmaps To do 2-way ANOVA To undertake multivariate modelling A brief introduction to machine learning.
The course included brief theoretical introductions followed by hands on exercises based on real life research examples.
- Workshops and courses
- Registration of interest
Keywords: R Programming, Statistical-model, Statistics, Pre-processing, Transcriptomics, Metabolomics, Proteomics