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DTSTAMP:20260618T121929Z
UID:f3052547-60d6-4b79-8bde-35a938db92f2
DTSTART:20240313T090000Z
DTEND:20240314T170000Z
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).\n\nIn this 2 days workshop\, we will provide an overview of omic
 s data structures\, and present different statistical approaches unsupervi
 sed and supervised\, from simple PCA/PLS to more advanced multi-omics dime
 nsion reduction methods (Common Component and Specific Weights Analysis\, 
 Multiblock Partial Least Squares). For each method\, we will cover both it
 s principle and practical aspects. \n\n\n# Audience\nThis course is addres
 sed 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* be able to run and interpret a Principal Component Analysis o
 r compute a Partial Least Square model on one data table.\n* be able to co
 mpute and interpret an unsupervised or a supervised integrative model with
  the R MBAnalysis package (CCSWA/MB-PLS).\n\n# Prerequisites\n### ***Knowl
 edge / competencies***\nThis course is designed for beginner users with th
 e following pre-requisites: \n* having performed analyses with at least on
 e type of data (RNAseq\, metabolomics…).\n* basic R\n* basic statistics\
 n\nEvaluate your R skills with the following [self-assesment](https://docs
 .google.com/forms/d/e/1FAIpQLSdIyeuabd_ZOWXgI1MWHapmaOMu20L9ESkLDZiWnpmkpu
 jyOg/viewform).\n\n\n\n### ***Technical***\nYou are required to bring your
  own laptop and have the following installed:\n* R and RStudio \n* R packa
 ges will be announced to the participants\n\n\n# Schedule\n\n**Day 1:** PC
 A/PLS theory and exercise  \n\n**Day 2:**  general introduction to multibl
 ock analyses\, focus on an unsupervised model (Common Component and Specif
 ic Weights Analysis) and a supervised model (Multiblock Partial Least Squa
 res) \n\n# Application\n\nThe course is now full with a long waiting list.
  We therefore can't take any other application. There will be other sessio
 ns in the future. Thank you for your understanding.\n\nThe registration fe
 es for academics are **120 CHF** and **600 CHF** for for-profit companies.
 \n\nWhile participants are registered on a first come\, first served basis
 \, exceptions may be made to ensure diversity and equity\, which may incre
 ase the time before your registration is confirmed.\n\nApplications will c
 lose as soon as the places will be filled up. Applications close on *04/03
 /2024*. Deadline for free-of-charge cancellation is set to *04/03/2024*. C
 ancellation after this date will not be reimbursed. Please note that parti
 cipation in SIB courses is subject to our [general conditions](https://www
 .sib.swiss/training/terms-and-conditions).\n\nYou will be informed by emai
 l of your registration confirmation. Upon reception of the confirmation em
 ail\, participants will be asked to confirm attendance by paying the fees 
 within 5 days.\n\n# Venue and Time\n\nUniversity of Geneva\, Centre Médic
 al Universitaire (CMU).\n\nThe course will start 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: Monique Zahn\, SIB Training
  group.\n\nWe will recommend 0.5 ECTS credits for this course (given a pas
 sed exam at the end of the course).\n\nYou are welcome to register to the 
 SIB courses mailing list to be informed of all future courses and workshop
 s\, as well as all important deadlines using the form [here](https://lists
 .sib.swiss/mailman/listinfo/courses).\n\nPlease note that participation 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 Condu
 ct](https://elixir-europe.org/events/code-of-conduct). Participants of SIB
  courses are also required to abide by the same code.\n\nFor more informat
 ion\, please contact [training@sib.swiss](mailto://training@sib.swiss).
SUMMARY:Multiomics Data Analysis and Integration
URL;VALUE=URI:https://www.sib.swiss/training/course/20240313_MODAI
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