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DTSTART:20260910T140000Z
DTEND:20260910T160000Z
DTSTAMP:20260910T000000Z
SUMMARY:Network Visualization to Interpret Pathway Analysis Results with Enrichment Map
DESCRIPTION:\n\nPathway (gene set) enrichment analyses often produce long 
 lists of overlapping and redundant gene sets\, which can make results 
 difficult to interpret and act on. Enrichment Map addresses this by 
 organizing gene sets/pathways into a clustered network: nodes represent 
 gene sets\, and edges represent overlap in member genes. This network view 
 groups related pathways into broader biological themes\, helping you 
 quickly identify the major signals in your data\, as well as shared genes 
 across groups of pathways. Enrichment Map also supports side-by-side 
 comparison of enrichment results from two experimental conditions within 
 the same map.\n\nIn this session\, attendees will learn how 
 to:\n\n\n	\n	Format enrichment analysis results for visualization in 
 Enrichment Map\n	\n	\n	Use Enrichment Map in Cytoscape to visualize 
 enrichment results as a network\n	\n	\n	Cluster the network and identify 
 major themes using AutoAnnotate\n	\n	\n	Compare enrichment results from two 
 experimental conditions\n	\n	\n	Create publication-ready 
 visualizations\n	\n\n\n\n\nPrerequisites:\n\n\n	\n	Bring a laptop with 
 Cytoscape installed\n	\n	\n	Download and install the latest version of 
 Cytoscape\n	\n	\n	No command-line or scripting experience required\n	\n
LOCATION:SHM L 111\, Cushing/Whitney Medical Library\, 333 Cedar Street\, Medical School
ORGANIZER;CN="Rolando Garcia-Milian":MAILTO:rolando.milian@yale.edu
CATEGORIES:Bioinformatics
CONTACT;CN="Rolando Garcia-Milian":MAILTO:rolando.milian@yale.edu
STATUS:CONFIRMED
UID:LibCal-17480224
URL:https://schedule.yale.edu/event/17480224
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