Hello R-SIG-GENETICS members

Last chance - Discover how to effectively analyze complex biological data at 
the single-cell level. Single Cell Data Analysis 3.0 is a 2-day seminar 
livestreaming May 25 with Nikolay Oskolkov (Lund University). This workshop 
offers practical skills in single-cell data analysis, crucial for understanding 
cellular heterogeneity in genetic research. Participants will gain expertise in 
processing, clustering, and integrating single-cell RNA sequencing data using R 
and Python. These methods can be directly applied to advance genetic studies by 
enabling more granular insights into gene expression patterns and cellular 
mechanisms.

Sign up today (https://instats.org/seminar/single-cell-data-analysis-30) to 
register now, and we'd appreciate you sharing this with colleagues and students 
who might benefit!


Best wishes

Michael Zyphur
Professor and Director
Instats | instats.org
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