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DTSTAMP:20260711T095122Z
UID:83e0bbf2-14e0-47b3-80e3-7e86478fe5c9
DTSTART:20230623T090000Z
DTEND:20230623T170000Z
DESCRIPTION:# Overview\nExperiments designed to quantify gene expression of
 ten yield hundreds of genes that show statistically significant difference
 s between groups of interest. Once differentially expressed genes are iden
 tified\, enrichment analysis (EA) methods can be used to explore the biolo
 gical functions associated with these genes. EA methods allow us to identi
 fy groups of genes (e.g. particular pathways) that are over-represented\, 
 thereby offering insights into biological mechanisms. One of the EA method
 s frequently used for high-throughput gene expression data analysis is Gen
 e Set Enrichment Analysis (GSEA). This course will cover GSEA and alternat
 ive enrichment methods. Because the implementation of GSEA is directly lin
 ked to databases that annotate the function of genes in a cell\, the cours
 e will also give an overview of functional annotation databases such as Ge
 ne Ontology. All course material can be found on the [GitHub course web pa
 ge](https://sib-swiss.github.io/enrichment-analysis-training/).\n\n\n# Aud
 ience\nBiologists eager to identify a statistically reliable set of genes 
 that are differentially expressed.\n\n# Learning objectives\nAt the end of
  the course\, participants will be able to:\n*  Distinguish available enri
 chment analysis methods.\n*  Apply GSEA and over-representation analysis u
 sing R.\n*  Determine whether the genes of a GO 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) and use them in 
 R.\n\n\n# Prerequisites\n*Knowledge / Competencies*\n* Statistics\, beginn
 er level (T-test\, multiple testing methods). \n* R\, beginner level (Rstu
 dio\, how to install a library\, matrix and data frame manipulation\, impo
 rt and export data from text files). [Test your R skills with the quiz her
 e\, before registering.](https://docs.google.com/forms/d/e/1FAIpQLSdIyeuab
 d_ZOWXgI1MWHapmaOMu20L9ESkLDZiWnpmkpujyOg/viewform?usp=sf_link) \n\n\n*Tec
 hnical*\n* This course will be streamed. You are thus required to have an 
 internet connection and your own computer with the latest [R](https://www.
 r-project.org/) and [RStudio](https://www.rstudio.com/products/rstudio/dow
 nload/) versions installed.\n\n# Application\n\n\nRegistration fees are **
 100 CHF** for academics and **500 CHF** for for-profit companies. While pa
 rticipants are registered on a first come\, first served basis\, exception
 s may be 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 **09/06/2023**. Cancellation after this date will not be reimbu
 rsed. Please note that participation to SIB courses is subject to our [gen
 eral conditions](https://www.sib.swiss/training/terms-and-conditions).\n\n
 You will be informed by email of your registration confirmation. Upon rece
 ption of the confirmation email\, participants will be asked to confirm at
 tendance by paying the fees within 5 days.\n\n # Venue and Time\nThis cour
 se will be streamed.  \n\nThe course will start at 9:00 CET and end around
  17:00 CET.\n\nPrecise information will be provided to the participants on
  due time.\n#  Additional information\nCoordination: Diana Marek\, SIB Tra
 ining Group.\n\nWe will recommend 0.25 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\n\nFor more 
 information\, please contact [training@sib.swiss](mailto:training@sib.swis
 s).
SUMMARY:Enrichment Analysis
URL;VALUE=URI:https://www.sib.swiss/training/course/20230623_ENRIC
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