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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260615T023337Z
UID:eef5abfe-434c-4bcb-b043-7c56f0467b3e
DTSTART:20200331T090000Z
DTEND:20200403T170000Z
DESCRIPTION:The course covered content for these learning objectives:\n\n  
   To write your own custom functions\n    To use for loops\, apply functio
 ns and if statements\n    To analyse large matrices of data in a semi-auto
 mated way\n    To normalise data\n    To quantify and correct batch effect
 \n    To undertake the most common clustering algorithms including k-means
  and hierarchical\n    To perform variable selection and present these res
 ults in different plots including heatmaps\n    To do 2-way ANOVA\n    To 
 undertake multivariate modelling\n    A brief introduction to machine lear
 ning.\n\nThe course included brief theoretical introductions followed by h
 ands on exercises based on real life research examples. 
LOCATION:University of Liverpool
SUMMARY:R for data science 
URL;VALUE=URI:https://www.liverpool.ac.uk/computational-biology-facility/ev
 ents/r-data-science/
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