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PRODID:-//github.com/ical-org/ical.net//NONSGML ical.net 4.0//EN
VERSION:2.0
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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
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BEGIN:DAYLIGHT
DTSTART:20250309T020000
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DESCRIPTION:Registration required Public single-cell and spatial transcrip
 tomics datasets have become invaluable resources for biomarker discovery 
 and hypothesis generation. In this one-hour webinar\, we will demonstrate
  practical workflows using Talk2Data and SpatialX to rapidly interrogate 
 public datasets and generate biologically meaningful insights. Through re
 al-world case studies in oncology\, neuroscience\, and idiopathic pulmona
 ry fibrosis (IPF)\, attendees will learn how to answer common translation
 al research questions\, including: Which genes are differentially express
 ed between disease and healthy tissues? Which cell types drive disease-as
 sociated molecular changes? How can candidate biomarkers be identified an
 d validated across multiple public studies? How can spatial transcriptomi
 cs reveal where biomarkers are localized and how neighboring cells intera
 ct within the tissue microenvironment?\n\nSpeaker:\nDr. Alexis Garduno\n\
 nAdmission:\nFree\n\nDetails URL:\nhttps://medicine.yale.edu/event/accele
 rating-biomarker-discovery-with-public-single-cell-and-spatial-data-pract
 ical-workflows/\n
DTEND;TZID=America/New_York:20260813T110000
DTSTAMP:20260722T124854Z
DTSTART;TZID=America/New_York:20260813T100000
LOCATION:The presentation link will be sent to those who register here: ht
 tps://schedule.yale.edu/event/17204959
SEQUENCE:0
STATUS:Confirmed
SUMMARY:Accelerating Biomarker Discovery with Public Single-Cell & Spatial
  Data: Practical Workflows with Talk2Data
UID:cffa8a4a-cef9-4fe6-82f7-bb747a5340e4
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