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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260704T231332Z
UID:a9c8b1a0-61ee-427a-863b-43714b65fadf
DTSTART:20210525T090000Z
DTEND:20210527T000000Z
DESCRIPTION:Participants can analyze their own data in the course. Both bul
 k and single cell applications will be discussed. \n \n	What kind of prep
 rocessing 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\, us
 ing gene set enrichment or sample ordination?\n	How to use MOFA for downst
 ream analyses including regression\, classification or clustering?\n	How t
 o impute missing values with MOFA?\n	How to select the number of factors a
 nd compare different MOFA fits?\n
LOCATION:iGent
SUMMARY:Using MOFA for integration of omics data\, online
URL;VALUE=URI:https://training.vib.be/product/327
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