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DTSTAMP:20260829T183849Z
UID:b50dc08a-b8c7-459e-ad6a-c02c74eba30e
DTSTART:20240905T150000Z
DTEND:20240905T150000Z
DESCRIPTION:You are invited to join this webinar which is part of the 202
 3-SYBEL Commissioned Service presented by the ELIXIR Systems Biology Com
 munity. \n\nOver the last decade\, a wealth of multiomics data has been p
 roduced and jointly analyzed to improve biomedical predictions and infer r
 egulatory networks. Although numerous methods have been developed for the 
 analysis and integration of these data\, two aspects have been consistentl
 y overlooked: the detailed characterization of differences in signal-to-no
 ise ratios across omics methods and their impact on experimental design an
 d conclusions\, as well as the controlled annotation of multiomics data to
  ensure reproducibility and the correct application of statistical assumpt
 ions. I will present the efforts of my lab to address both fronts\, repres
 ented by two software tools\, MultiPower (PMID: 32555183) and STATEgraEM
 S (PMID: 25033091). My goal is to foster discussions on how the ELIXIR S
 B community can advance the state of the field in these areas.\n\nThe reco
 rding of this event will be uploaded to the ELIXIR Europe Youtube channel\
 n\n 
SUMMARY:Single/noise ratio characterization and annotation of multi-omics e
 xperiments: pending tasks in Systems Biology
URL;VALUE=URI:https://www.elixir-europe.org/events/singlenoise-ratio-charac
 terization-and-annotation-multi-omics-experiments-pending-tasks
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