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:Registration required Pathway (gene set) enrichment analyses o
 ften produce long lists of overlapping and redundant gene sets\, which ca
 n make results difficult to interpret and act on. Enrichment Map addresse
 s this by organizing gene sets/pathways into a clustered network: nodes r
 epresent gene sets\, and edges represent overlap in member genes. This ne
 twork view groups related pathways into broader biological themes\, helpi
 ng you quickly identify the major signals in your data\, as well as share
 d genes across groups of pathways. Enrichment Map also supports side-by-s
 ide comparison of enrichment results from two experimental conditions wit
 hin the same map.In this session\, attendees will learn how to: Format en
 richment analysis results for visualization in Enrichment Map Use Enrichm
 ent Map in Cytoscape to visualize enrichment results as a network Cluster
  the network and identify major themes using AutoAnnotate Compare enrichm
 ent results from two experimental conditions Create publication-ready vis
 ualizations Prerequisites: Bring a laptop with Cytoscape installed Downlo
 ad and install the latest version of Cytoscape No command-line or scripti
 ng experience required\n\nSpeaker:\nRolando Garcia-Milian\n\nAdmission:\n
 Free\n\nDetails URL:\nhttps://medicine.yale.edu/event/network-visualizati
 on-to-interpret-pathway-analysis-results-with-enrichment-map/\n
DTEND;TZID=America/New_York:20260910T120000
DTSTAMP:20260916T092001Z
DTSTART;TZID=America/New_York:20260910T100000
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:Network Visualization to Interpret Pathway Analysis Results with E
 nrichment Map
UID:d6f3a9d8-5662-4b35-b297-564e6837b888
END:VEVENT
END:VCALENDAR
