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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
TZOFFSETFROM:-0400
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DTSTART:20250309T020000
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DESCRIPTION:In person  Registration required High-throughput technologies 
 (e.g.\, genomics\, transcriptomics\, proteomics) are widely used to monit
 or the activity of thousands of genes in a single experiment. These resul
 t in hundreds or thousands of differentially expressed genes leaving the 
 researcher with the challenging task of understanding their biological re
 levance. Due to its simplicity\, well-established statistical model\, and
  ease of implementation\, enrichment through Overrepresentation Analysis 
 (ORA) is commonly used to interpret lists of differentially expressed gen
 es and it is also available through many online tools. However\, this met
 hod can result in dozens of pathways\, and gene ontology functions. Atten
 dees to this session will learn: what are the components of an ORA: gene 
 list\, cutoffs\, background\, or reference set\, etc. how to use gProfile
 r\, an online tool for enrichment analysis how to visualize and present t
 he results of the enrichment analysis. Requisites Download and install Cy
 tocape Attendees to this workshop may also be interested in attending Par
 t 2: Gene Set Enrichment Analysis \, and Part 3 Interaction Network Analy
 sis .\n\nSpeaker:\nRolando Garcia-Milian\n\nAdmission:\nFree\n\nDetails U
 RL:\nhttps://medicine.yale.edu/event/functional-analysis-of-omics-data-pa
 rt-1-overrepresentation-analysis-ora/\n
DTEND;TZID=America/New_York:20250918T120000
DTSTAMP:20261106T043016Z
DTSTART;TZID=America/New_York:20250918T100000
GEO:41.303230;-72.933870
LOCATION:Sterling Hall of Medicine\, C-Wing\, C103\, 333 Cedar Street\, Ne
 w Haven\, CT\, United States
SEQUENCE:0
STATUS:Confirmed
SUMMARY:Functional Analysis of Omics Data
UID:3c8bddaa-341a-4da9-8329-e041432c4f05
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