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DTSTART:20230331T090000Z
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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\, be
 ginner level (T-test\, multiple testing methods). \n* R\, beginner level (
 Rstudio\, how to install a library\, matrix and data frame manipulation\, 
 import and export data from text files). [Test your R skills with the quiz
  here\, before registering.](https://docs.google.com/forms/d/e/1FAIpQLSdIy
 euabd_ZOWXgI1MWHapmaOMu20L9ESkLDZiWnpmkpujyOg/viewform?usp=sf_link) \n\n\n
 ***Technical***\n* This course will be streamed. You are thus required to 
 have an internet connection and your own computer with the latest [R](http
 s://www.r-project.org/) and [RStudio](https://www.rstudio.com/products/rst
 udio/download/) versions installed.\n\n# Application\n\n\nRegistration fee
 s are **60 CHF** for academics and **300 CHF** for for-profit companies. W
 hile participants are registered on a first come\, first served basis\, ex
 ceptions may be made to ensure diversity and equity\, which may increase t
 he time before your registration is confirmed.\n\nApplications will close 
 as soon as the places will be filled up. Deadline for free-of-charge cance
 llation is set to **17/03/2023**. Cancellation after this date will not be
  reimbursed. Please note that participation to SIB courses is subject to o
 ur [general conditions](https://www.sib.swiss/training/terms-and-condition
 s).\n\nYou will be informed by email of your registration confirmation. Up
 on reception of the confirmation email\, participants will be asked to con
 firm attendance by paying the fees within 5 days.\n\n # Venue and Time\nTh
 is course 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 particip
 ants on due time.\n#  Additional information\nCoordination: Diana Marek\, 
 SIB Training 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 reg
 ister to the SIB courses mailing list to be informed of all future courses
  and workshops\, as well as all important deadlines using the form [here](
 https://lists.sib.swiss/mailman/listinfo/courses).\n\nPlease note that par
 ticipation in SIB courses is subject to our [general conditions](https://w
 ww.sib.swiss/training/terms-and-conditions).\n\nSIB abides by the [ELIXIR 
 Code of Conduct](https://elixir-europe.org/events/code-of-conduct). Partic
 ipants of SIB courses are also required to abide by the same code.\n\n\nFo
 r more information\, please contact [training@sib.swiss](mailto:training@s
 ib.swiss).
SUMMARY:Enrichment Analysis
URL;VALUE=URI:https://www.sib.swiss/training/course/20230331_ENRIC
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