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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260706T084952Z
UID:111cbf9d-4017-4f1b-ae17-823e0e87af4c
DTSTART:20201015T090000Z
DTEND:20201016T000000Z
DESCRIPTION:Participants can analyze their own data in the course.\n \n	Wha
 t kind of preprocessing of the data is required for MOFA?\n	How to train M
 OFA on a multi-omic data set?\n	How to interpret the MOFA factors by their
  loadings\, using gene set enrichment or sample ordination?\n	How to use M
 OFA for downstream analyses including regression\, classification or clust
 ering?\n	How to impute missing values with MOFA?\n	How to select the numbe
 r of factors and compare different MOFA fits?\n
LOCATION:iGent
SUMMARY:Using MOFA for integration of omics data\, online
URL;VALUE=URI:https://training.vib.be/product/253
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