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DTSTART:20230316T000000Z
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DESCRIPTION:**This course is now full with a long waiting list.**  If you d
 o not want to miss your chance to be part of the next session and remain i
 nformed about all training activities at SIB\, we highly recommend you to 
 keep an eye on our list of [upcoming events](https://www.sib.swiss/trainin
 g/upcoming-training-courses) and subscribe to our courses [mailing list](h
 ttps://lists.sib.swiss/mailman/listinfo/courses) here (if you haven't done
  so already).\n\n\n# Overview\nResearchers often have access or generate m
 ultiple omics data (RNAseq\, metabolomics\, lipidomics\, proteomics…) wi
 thin a single study. Although each omics data has been traditionally analy
 sed in isolation\, combining possibly complementary data can yield a bette
 r understanding of the mechanisms involved in the biological processes. Se
 veral integrative approaches are now available to combine such data\, whic
 h can be regarded as extensions of the standard Principal Component Analys
 is (PCA).\nIn this 2 days workshop\, we will provide an overview of omics 
 data structures\, and present different statistical approaches unsupervise
 d and supervised\, from simple PCA/PLS to more advanced multi-omics dimens
 ion reduction methods (Common Component and Specific Weights Analysis\, Mu
 ltiblock Partial Least Squares). For each method\, we will cover both its 
 principle and practical aspects. \n\n\n# Audience\nThis course is addresse
 d 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 expec
 ted to:\n* be able to run and interpret a Principal Component Analysis or 
 compute a Partial Least Square model on one data table.\n* be able to comp
 ute and interpret an unsupervised or a supervised integrative model with t
 he R MBAnalysis package (CCSWA/MB-PLS).\n\n# Prerequisites\n### ***Knowled
 ge / competencies***\nThis course is designed for beginner users with the 
 following pre-requisites: \n* having performed analyses with at least one 
 type of data (RNAseq\, metabolomics…).\n* basic R\n* basic statistics\n\
 nEvaluate your R skills with the following [self-assesment](https://docs.g
 oogle.com/forms/d/e/1FAIpQLSdIyeuabd_ZOWXgI1MWHapmaOMu20L9ESkLDZiWnpmkpujy
 Og/viewform).\n\n\n\n### ***Technical***\nYou are required to bring your o
 wn laptop and have the following installed:\n* R and RStudio \n* R package
 s will be announced to the participants\n\n\n# Schedule\n\n**Day 1:** PCA/
 PLS theory and exercise  \n\n**Day 2:**  general introduction to multibloc
 k analyses\, focus on an unsupervised model (Common Component and Specific
  Weights Analysis) and a supervised model (Multiblock Partial Least Square
 s) \n\n# Application\n\nThe course is now full with a long waiting list. W
 e therefore can't take any other application. There will be other sessions
  in the future. Thank you for your understanding.\n\nThe registration fees
  for academics are **120 CHF** and **600 CHF** for for-profit companies.\n
 \nYou will be informed by email of your registration confirmation. Upon re
 ception of the confirmation email\, participants will be asked to confirm 
 attendance by paying the fees within 5 days.\n\nApplications close on *09/
 03/2023*. Deadline for free-of-charge cancellation is set to *09/03/2023*.
  Cancellation after this date will not be reimbursed. Please note that par
 ticipation in SIB courses is subject to our [general conditions](http://ww
 w.sib.swiss/training/terms-and-conditions).\n\n# Venue and Time\n\nUnivers
 ity of Geneva\, Centre Médical Universitaire (CMU).\n\nThe course will st
 art at 9:00 and end around 17:00. Precise information will be provided to 
 the participants in due time.\n\n\n#  Additional information\nCoordination
 : Valeria Di Cola\n\nWe will recommend 0.5 ECTS credits for this course (g
 iven a passed exam at the end of the course).\n\nYou are welcome to regist
 er to the SIB courses mailing list to be informed of all future courses an
 d workshops\, as well as all important deadlines using the form [here](htt
 ps://lists.sib.swiss/mailman/listinfo/courses).\n\nPlease note that partic
 ipation in SIB courses is subject to our [general conditions](http://www.s
 ib.swiss/training/terms-and-conditions).\n\nSIB abides by the [ELIXIR Code
  of Conduct](https://elixir-europe.org/events/code-of-conduct). Participan
 ts of SIB courses are also required to abide by the same code.\n\nFor more
  information\, please contact [training@sib.swiss](mailto://training@sib.s
 wiss).
SUMMARY:Multiomics Data Analysis and Integration
URL;VALUE=URI:https://www.sib.swiss/training/course/20230316_MODAI
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