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DESCRIPTION:Multi-omics data (eg. transcriptomics\, proteomics) collected f
 rom the same set of biospecimens or individuals is a powerful way to under
 stand the underlying molecular mechanisms of a biological system. \n\n[mix
 Omics](http://mixomics.org/)\, a popular R package\, integrates omics data
  from a wide range of sources into a single\, unified view making it easie
 r to explore and reveal interactions between omics layers. It overcomes ma
 ny of the challenges of multi-omic data integration arising from data that
  are complex and large\, with few samples (&lt\;50) and many molecules (&g
 t\;10\,000)\, and generated using different technologies. \n\nProf Kim-Anh
  Lê Cao\, head of the mixOmics team\, is delivering this webinar to outli
 ne the different methods implemented in mixOmics and how statistical data 
 integration is defined in this context. She will demonstrate how these app
 roaches are applied to analysis of different multi-omics studies and outli
 ne the latest methodological developments in this area. From a study of hu
 man newborns\, to multi-omics microbiomes\, and multi-omics in single cell
 s\, these examples illustrate how mixOmics is used to perform variable sel
 ection and identify a signature of omics markers that characterise a speci
 fic phenotype or disease status. \n\n**Speaker:** Prof Kim-Anh Lê Cao\, D
 irector of Melbourne Integrative Genomics\, School of Mathematics and Stat
 istics\, University of Melbourne.\n\n**Date/Time:** 6 March  2024\,  1-2pm
  AEDT / 12 - 1 pm AEST / 12:30 - 1:30 pm ACDT / 10 - 11 am AWST\n\n**Who t
 he webinar is for:**\n\nThis webinar is for life scientists\, bioinformati
 cians and anyone with an interest in exploration and integration of multio
 mics biological datasets.\n\n**How to join:**\n\nThis webinar is free to j
 oin but you must[ register for a place in advance](https://unimelb.zoom.us
 /webinar/register/WN_xFjyJsCYQNW1YsupJfb56A).\n\nA recording of this webin
 ar will be shared on the Australian BioCommons YouTube Channel.
SUMMARY:WEBINAR: Multivariate integration of multi-omics data with mixOmics
URL;VALUE=URI:https://www.biocommons.org.au/events/mixomics
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