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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
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DTSTAMP:20260623T125340Z
UID:b24a8223-3f45-4a24-ba68-7e192b70c54f
DTSTART:20250609T090000Z
DTEND:20250613T170000Z
DESCRIPTION:This course if aimed for those who seek to deepen their biostat
 istical and machine learning skills. Building on the Introduction to Biost
 atistics and Machine Learning course\, this course expands on common  life
  science data analysis methods\, including dimensionality reduction techni
 ques beyond PCA\, mixed-effects models for analysis of  repeated measures\
 , and survival analysis.  We will also dive deeper into machine learning\,
  covering more classification algorithms\, ensemble techniques\, optimizat
 ion strategies and PLS methods for single and multi-omics data analysis.
LOCATION:SciLifeLab Uppsala - BMC Trippelrummet
SUMMARY:Machine Learning for Life Sciences
URL;VALUE=URI:https://uppsala.instructure.com/courses/110506
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