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TZID:America/Chicago
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DTSTART:20250309T030000
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DTSTART:20251102T010000
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BEGIN:VEVENT
DTSTAMP;TZID=America/Chicago:20260409T002325
UID:204404@calendar.wisc.edu
DTSTART;TZID=America/Chicago:20250411T120000
DTEND;TZID=America/Chicago:20250411T130000
DESCRIPTION:Leveraging LLMs and AI Agent Networks for Community-based Gene 
 Set and Cell Type Annotation. Single-cell RAN sequencing has transformed o
 ur ability to identify diverse cell types and their transcriptomic signatu
 res. However\, annotating these signatures remains a major challenge\, esp
 eially those involving poorly characterized genes. Dr. Zheng will present 
 a novel approach that integrates free-text descriptions with ontology labe
 ls for more accurate and robust gene set generation. This method correctly
  annotates over 68% of gene sets within the top five predictions.\n\nCONTA
 CT: junjie.hu@wisc.edu\n\nURL: https://biostat.wisc.edu/seminars\n\nONLINE
 : https://uwmadison.zoom.us/j/99879638765
LOCATION:Auditorium\, Genetics-Biotechnology Center Building  (Also offered
  online)
SUMMARY:Biostatistics and Medical Informatics Department Seminar with Wenji
 n Jim Zheng\, University of Texas Houston
URL;VALUE=URI:https://biostat.wisc.edu/seminars
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