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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
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DTSTAMP:20260721T092315Z
UID:6b6ab23e-b47f-4262-9c32-6826d74ddcd6
DTSTART:20200609T090000Z
DTEND:20200609T000000Z
DESCRIPTION:Participants can bring their own data to the course.\n \n	What 
 kind of preprocessing of the data is required for MOFA?\n	How to train MOF
 A on a multi-omic data set?\n	How to interpret the MOFA factors by their l
 oadings\, using gene set enrichment or sample ordination?\n	How to use MOF
 A for downstream analyses including regression\, classification or cluster
 ing?\n	How to impute missing values with MOFA?\n	How to select the number 
 of factors and compare different MOFA fits?\n
LOCATION:iGent
SUMMARY:Using MOFA for integration of omics data - postponed
URL;VALUE=URI:https://training.vib.be/product/151
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