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CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260605T040411Z
UID:383efac8-2765-4c8b-b838-64681a190b37
DTSTART:20210628T090000Z
DTEND:20210629T170000Z
DESCRIPTION:<html><ul><li>This event was exported from <a href="https://exp
 lora.alliancecan.ca/" target="_blank" rel="noopener"><strong>Explora</stro
 ng></a></li><li>The content provider for this event is: <a href="https://e
 xplora.alliancecan.ca/content_providers/canadian-bioinformatics-workshops"
  target="_blank" rel="noopener">Canadian Bioinformatics Workshops</a></li>
 <li><strong>Registration may be required for the event</strong>\, please v
 isit the following URL to learn more: <a href="https://bioinformatics.ca/w
 orkshops-all/2021-analysis-using-r/" target="_blank" rel="noopener">https:
 //bioinformatics.ca/workshops-all/2021-analysis-using-r/</a></li></ul><hr>
 <p>Before we can begin to apply rigorous statistical tools to research dat
 a\, we often need to approach our data intuitively\, and look for meaningf
 ul associations\, surprising patterns\, or irregularities\, to formulate h
 ypotheses. This is Exploratory Data Analysis (EDA). This workshop introduc
 es the essential tools and strategies that are available for EDA through t
 he free statistical workbench R. Steps covered in this workshop are broadl
 y relevant for many areas of modern\, quantitative biology such as flow cy
 tometry\, expression profile analysis\, function prediction and more.</p><
 /html>
SUMMARY:(2021) Analysis Using R
URL;VALUE=URI:https://bioinformatics.ca/workshops-all/2021-analysis-using-r
 /
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