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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260711T024555Z
UID:bc8ee1c4-0d9b-4c25-8abc-942c04bc1145
DTSTART:20190515T090000Z
DTEND:20190516T170000Z
DESCRIPTION:Before we can begin to apply rigorous statistical tools to rese
 arch data\, we often need to approach our data intuitively\, and look for 
 meaningful associations\, surprising patterns\, or irregularities\, to for
 mulate hypotheses. This is Exploratory Data Analysis (EDA). This workshop 
 introduces the essential tools and strategies that are available for EDA t
 hrough the free statistical workbench R. Steps covered in this workshop ar
 e broadly relevant for many areas of modern\, quantitative biology such as
  flow cytometry\, expression profile analysis\, function prediction and mo
 re.
SUMMARY:(2019) Exploratory Analysis of Biological Data using R
URL;VALUE=URI:https://bioinformatics.ca/workshops-all/2019-exploratory-anal
 ysis-of-biological-data-using-r/
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END:VCALENDAR