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DTSTART:20251128T090000Z
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DESCRIPTION:# Overview\nExperiments designed to quantify gene expression of
 ten yield hundreds of genes that exhibit statistically significant differe
 nces between groups of interest. After identifying differentially expresse
 d genes\, enrichment analysis (EA) methods can be used to explore the biol
 ogical functions associated with them. These methods allow us to identify 
 groups of genes (e.g.\, grouped into pathways) that are overrepresented\, 
 thereby offering insights into biological mechanisms. Gene Set Enrichment 
 Analysis (GSEA) is one of the EA methods frequently used for high-throughp
 ut gene expression data analysis. This course will cover GSEA and alternat
 ive enrichment methods. Because GSEA implementation is directly linked to 
 databases that annotate gene function in cells\, the course will also prov
 ide an overview of functional annotation databases\, such as Gene Ontology
 . All course materials are available on the [GitHub course web page](https
 ://sib-swiss.github.io/enrichment-analysis-training/).\n\n\n# Audience\nBi
 ologists who are eager to perform functional annotation of a set of differ
 entially expressed genes.\n\n# Learning outcomes\nAt the end of the course
 \, participants will be able to:\n* Distinguish available enrichment analy
 sis method\n* Apply overrepresentation and Gene Set Enrichment Analysis me
 thods using R\n* Determine whether the genes of a Gene Ontology term have 
 a statistically significant difference in expression or not\n* Learn where
  to find other gene sets in databases (e.g. KEGG\, oncogenic gene sets) an
 d use them in R\n\n# Prerequisites\n***Knowledge / Competencies***\n\nYou 
 should meet the learning outcomes of either [First Steps with R in Life Sc
 iences](https://www.sib.swiss/training/course/20250203_FSWR) or [Introduct
 ion to Statistics with R](https://www.sib.swiss/training/course/20250127_S
 TATR).\n\nIn case of doubt\, evaluate your R skills with this [quiz](https
 ://docs.google.com/forms/d/e/1FAIpQLSdIyeuabd_ZOWXgI1MWHapmaOMu20L9ESkLDZi
 WnpmkpujyOg/viewform?usp=sf_link) before registering.\n\n**Technical**\n\n
 This course will be streamed. You are thus required to have an internet co
 nnection and your own computer with the latest [R](https://www.r-project.o
 rg/) and [RStudio](https://www.rstudio.com/products/rstudio/download/) ver
 sions installed.\n\n# Application\n\n\nRegistration fees are **100 CHF** f
 or academics and **500 CHF** for for-profit companies. \n\nWhile participa
 nts are registered on a first come\, first served basis\, exceptions may b
 e made to ensure diversity and equity\, which may increase the time before
  your registration is confirmed.\n\nApplications will close as soon as the
  places will be filled up. Deadline for free-of-charge cancellation is set
  to **20/11/2025**. Cancellation after this date will not be reimbursed. \
 n\nYou will be informed by email of your registration confirmation. Upon r
 eception of the confirmation email\, participants will be asked to confirm
  attendance by paying the fees within 5 days.\n\n # Venue and Time\nThis c
 ourse will be streamed.  \n\nThe course will start at 9:00 CET and end aro
 und 17:00 CET.\n\nPrecise information will be provided to the participants
  in due time.\n\n#  Additional information\nCoordination: Grégoire Rossie
 r\, SIB Training Group.\n\nWe will recommend 0.25 ECTS credits for this co
 urse (given a passed 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 cou
 rses and workshops\, as well as all important deadlines using the form [he
 re](https://lists.sib.swiss/postorius/lists/courses.lists.sib.swiss/).\n\n
 Please note that participation in SIB courses is subject to our [general c
 onditions](https://www.sib.swiss/training/terms-and-conditions).\n\nSIB ab
 ides by the [ELIXIR Code of Conduct](https://elixir-europe.org/events/code
 -of-conduct). Participants of SIB courses are also required to abide by th
 e same code.\n\nFor more information\, please contact [training@sib.swiss]
 (mailto:training@sib.swiss).
SUMMARY:Enrichment Analysis
URL;VALUE=URI:https://www.sib.swiss/training/course/20251128_ENRIC
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