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VERSION:2.0
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CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260703T095226Z
UID:5290935b-fe03-44d0-a543-330580a19d86
DTSTART:20260901T120000Z
DTEND:20260901T153000Z
DESCRIPTION:A free pre-conference tutorial organized by young-SIS (young gr
 oup of the Italian Statistical Society) in collaboration with CIBB 2026\, 
 the 21st International Conference on Computational Intelligence Methods fo
 r Bioinformatics and Biostatistics.\n\nThe tutorial provides a hands-on in
 troduction to the statistical foundations and practical workflow of single
 -cell data analysis in R\, suitable also for participants approaching this
  type of data for the first time.\n\n**Topics covered:**\n\n- statistical 
 challenges of single-cell data (sparsity\, high dimensionality\, technical
  variability)\n- normalization and dimensionality reduction (GLM-PCA\, t-S
 NE\, UMAP)\n- clustering and cell-type identification (supervised approach
 es including SingleR\, and unsupervised clustering algorithms)\n- differen
 tial expression analysis with appropriate type I error control via Count S
 plitting\n- a complete analytical workflow in R using the Bioconductor Sin
 gleCellExperiment framework\n\n**Speakers:**\n\n- Andrea Sottosanti\, Depa
 rtment of Statistical Sciences\, University of Padova\n- Dario Righelli\, 
 Department of Biology\, University of Padova\n\n**Format:** bring-your-own
 -laptop\; required R packages will be communicated in advance for particip
 ants to install.\n\nThe event is part of CIBB 2026\, taking place at Sapie
 nza University of Rome on September 2-4\, 2026.\n\nConference website: htt
 ps://cibb2026.teralab.ai
LOCATION:Sapienza University of Rome
SUMMARY:Tutorial on Single-Cell Data Analysis (CIBB 2026 satellite)
URL;VALUE=URI:https://cibb2026.teralab.ai/satellite-events/statistical-prin
 ciples-and-practice-of-single-cell-data-analysis/
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