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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260716T103934Z
UID:0ceb6a68-7bc0-4758-98f2-9886c62a922a
DTSTART:20220427T090000Z
DTEND:20220427T170000Z
DESCRIPTION:It is hard to think of a biological process in which protein-pr
 otein interactions (PPIs) do not play an essential role. Thus\, in collect
 ive efforts over the last two decades comprehensive sets of human PPIs hav
 e been curated from the scientific literature or identified in systematic\
 , proteome-wide mapping efforts. These resources build large PPI networks 
 with an amazing potential to advance our understanding of individual gene 
 function towards a systems understanding of cellular organisation.\n\nThis
  webinar will provide important insights into technical biases that should
  be considered when using PPI data for system-wide analyses. It will expla
 in theory and practical considerations when performing statistical tests o
 n PPI networks to determine whether selected proteins (i.e. that share a d
 isease association) tend to interact with each other or for the prediction
  of gene function using guilt-by-association principles.
LOCATION:\, 
SUMMARY:Approaches for using protein-protein interaction networks for biolo
 gical discovery
URL;VALUE=URI:https://www.ebi.ac.uk/training/events/approaches-using-protei
 n-protein-interaction-networks-biological-discovery
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