BEGIN:VCALENDAR
PRODID:-//github.com/ical-org/ical.net//NONSGML ical.net 4.0//EN
VERSION:2.0
BEGIN:VTIMEZONE
TZID:America/New_York
X-LIC-LOCATION:America/New_York
BEGIN:STANDARD
DTSTART:20241103T020000
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11
TZNAME:EST
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20250309T020000
RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3
TZNAME:EDT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
DESCRIPTION:Differentially expressed genes don't tell the whole story. In 
 this hands-on workshop\, you will learn how to move beyond individual gen
 e lists and uncover coordinated biologicalpathways and processes using Ge
 ne Set Enrichment Analysis (GSEA) with the clusterProfiler R/Bioconductor
  package. By the end of the session\, participants will have a reusable\,
  well-structured and annotated R script they can adapt to their own datas
 ets and will learn to: Explain the principles of GSEA and distinguish it 
 from over-representation analysis (ORA)\, including how ranked gene lists
  and enrichment scores are computed. Prepare input data for GSE including
  ranking genes by log₂ fold change\, and handling duplicate gene symbols.
  Select and load appropriate gene sets from MSigDB using the msigdbr pack
 age. Run GSEA using the GSEA() function with appropriate parameter choice
 s Interpret GSEA output\, including Normalized Enrichment Score (NES)\, F
 DR q-values\, and leading-edge genes. Generate and customize visualizatio
 ns including: dot plots and enrichment score plots using enrichplot. Prer
 equisites: Basic familiarity with R and RStudio. Having a laptop with the
  latest version of RStudio installed. Duration: 2 hours  Format: Instruct
 or-led with live coding\n\nSpeaker:\nRolando Garcia Milian\n\nAdmission:\
 nFree\n\nDetails URL:\nhttps://medicine.yale.edu/event/from-differentiall
 y-expressed-molecules-to-biological-insight-part-2/\n
DTEND;TZID=America/New_York:20260819T120000
DTSTAMP:20260807T080213Z
DTSTART;TZID=America/New_York:20260819T100000
GEO:41.303230;-72.933870
LOCATION:Sterling Hall of Medicine\, L-Wing\, 111\, 333 Cedar Street\, New
  Haven\, CT\, United States
SEQUENCE:0
STATUS:Confirmed
SUMMARY:From Differentially Expressed Molecules to Biological Insight (Par
 t 2): Gene Set Enrichment Analysis with clusterProfiler in R
UID:ca7c1a33-a7d8-43d6-b4ef-eced898ccf4c
END:VEVENT
END:VCALENDAR