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DESCRIPTION:## Overview\nResearchers often have access or generate multiple
  omics data (RNAseq\, metabolomics\, lipidomics\, proteomics…) within a 
 single study. Although each omics data has been traditionally analysed in 
 isolation\, combining possibly complementary data can yield a better under
 standing of the mechanisms involved in the biological processes. Several i
 ntegrative approaches are now available to combine such data\, which can b
 e regarded as extensions of the standard Principal Component Analysis (PCA
 ).\n\nIn this 2-day course\, we will provide an overview of omics data str
 uctures\, and present different unsupervised and supervised statistical ap
 proaches\, from simple PCA/PLS to more advanced multiomics dimension reduc
 tion methods (Common Component and Specific Weights Analysis\, Consensus O
 rthogonal Partial Least Squares). For each method\, we will cover both its
  principles and practical aspects. \n\n\n## Audience\nThis course is addre
 ssed to life scientists who have worked with at least one type of data.\n\
 n## Learning outcomes\nAt the end of the course\, the participants are exp
 ected to:\n* perform and interpret a PCA and build a PLS model on a single
  data table\n* compute and interpret an unsupervised R MBAnalysis package 
 (CCSWA) and a supervised integrative model with the ConsensusOPLS R packag
 e \n\n# Prerequisites\n#### ***Knowledge / competencies***\nYou should mee
 t the learning outcomes of \n[First Steps with R in Life Sciences](https:/
 /www.sib.swiss/training/course/20260309_FSWRR) and [Introduction to Statis
 tics and Data Visualisation with R](https://www.sib.swiss/training/course/
 20260126_STATR).\n\nEvaluate your R skills with the following [self-assess
 ment](https://docs.google.com/forms/d/e/1FAIpQLSdIyeuabd_ZOWXgI1MWHapmaOMu
 20L9ESkLDZiWnpmkpujyOg/viewform).\n \nYou should also have performed analy
 ses with at least one type of data (RNAseq\, metabolomics…).\n\n#### ***
 Technical***\nYou are required to bring your own laptop and have the follo
 wing installed:\n* R and RStudio \n* R packages will be announced to the p
 articipants\n\n\n## Schedule\n\n**Day 1:** Introduction to dimensionality 
 reduction theory and exercises (PCA/PLS)\n\n**Day 2:** Introduction to mul
 tiblock analyses\, focusing on an unsupervised model (Common Component and
  Specific Weights Analysis) and a supervised model (Consensus Orthogonal P
 artial Least Squares) \n\n## Application\n\n\n\nThe registration fees for 
 academics are **200 CHF** and **1000 CHF** for for-profit companies.\n\nWh
 ile participants are registered on a first come\, first served basis\, exc
 eptions may be made to ensure diversity and equity\, which may increase th
 e time before your registration is confirmed.\n\nApplications will close a
 s soon as the places will be filled up. Deadline for free-of-charge cancel
 lation is set to *24/02/2026*. Cancellation after this date will not be re
 imbursed. Please note that participation in SIB courses is subject to our 
 [general conditions](https://www.sib.swiss/training/terms-and-conditions).
 \n\nYou will be informed by email of your registration confirmation. Upon 
 reception of the confirmation email\, participants will be asked to confir
 m attendance by paying the fees within 5 days.\n\n## Venue and Time\n\nUni
 versity of Lausanne.\n\nThe course will start at 9:00 and end around 17:00
 .\n\nPrecise information will be provided to the participants in due time.
 \n\n\n##  Additional information\nCoordination: Grégoire Rossier\, SIB Tr
 aining group.\n\nWe will recommend 0.5 ECTS credits for this course (given
  a passed exam at the end of the course).\n\nYou are welcome to register t
 o the SIB courses mailing list to be informed of all future courses and wo
 rkshops\, as well as all important deadlines using the form [here](https:/
 /lists.sib.swiss/mailman/listinfo/courses).\n\nPlease note that participat
 ion in SIB courses is subject to our [general conditions](https://www.sib.
 swiss/training/terms-and-conditions).\n\nSIB abides by the [ELIXIR Code of
  Conduct](https://elixir-europe.org/events/code-of-conduct). Participants 
 of SIB courses are also required to abide by the same code.\n\nFor more in
 formation\, please contact [training@sib.swiss](mailto://training@sib.swis
 s).
SUMMARY:Multiomics Data Analysis and Integration
URL;VALUE=URI:https://www.sib.swiss/training/course/20260305_MODAI
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