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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
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DTSTAMP:20260709T225737Z
UID:ea475211-74f5-4a45-9e3f-04ff00e4e252
DTSTART:20190503T090000Z
DTEND:20190503T000000Z
DESCRIPTION:\n	What kind of preprocessing of the data is required for MOFA?
 \n	How to train MOFA on a multi-omic data set?\n	How to interpret the MOFA
  factors by their loadings\, using gene set enrichment or sample ordinatio
 n?\n	How to use MOFA for downstream analyses including regression\, classi
 fication or clustering?\n	How to impute missing values with MOFA?\n	How to
  select the number of factors and compare different MOFA fits?\n
LOCATION:Park Inn by Radisson Leuven
SUMMARY:Using MOFA for integration of omics data
URL;VALUE=URI:https://training.vib.be/product/51
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