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TZID:America/New_York
X-LIC-LOCATION:America/New_York
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DTSTART:20241103T020000
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11
TZNAME:EST
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DTSTART:20250309T020000
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DESCRIPTION:Registration required Identifying differentially expressed gen
 es or proteins is just the beginning — the real biological insight comes 
 from understanding what those molecules are doing. In this hands-onworksh
 op\, participants will learn how to perform Overrepresentation Analysis (
 ORA) by using the clusterProfiler R package alongside MSigDB gene sets vi
 a msigdbr\, to determine whether specific biological pathways or gene set
 s are statistically enriched among a list of differentially expressed mol
 ecules. By the end of the session\, participants will have a reusable\, w
 ell-structured and annotated R script they can adapt to their own dataset
 s and will learn to: Explain the principles of ORA Define differentially 
 expressed genes cutoffs Select and load gene sets Set an appropriate back
 ground gene list Run ORA with enricher() Generate and interpret multiple 
 enrichment visualizations\, including: bar plots\, dot plots\, heatplots\
 , upSet plots\, treeplots Prerequisites: Basic familiarity with R and RSt
 udio. Having a laptop with the latest version of RStudio installed. Durat
 ion: 2 hours  Format: Instructor-led with live coding\n\nSpeaker:\nRoland
 o Garcia Milian\n\nAdmission:\nFree\n\nDetails URL:\nhttps://medicine.yal
 e.edu/event/from-differentially-expressed-molecules-to-biological-insight
 -part-1/\n
DTEND;TZID=America/New_York:20260811T120000
DTSTAMP:20260807T114548Z
DTSTART;TZID=America/New_York:20260811T100000
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 (Pa
 rt 1): Overrepresentation Analysis With ClusterProfiler in R"
UID:1281e857-6b5e-475a-b2ce-9ea63a1cbf3b
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