Dive into the world of flow cytometry data analysis with this comprehensive 6-hour tutorial. Learn to harness the power of R for exploring and processing flow cytometry data, ensuring quality assurance, and implementing 1D static gating techniques. Gain valuable insights into clustering methods and discover additional flow cytometry tools to enhance your analytical capabilities. Master the essential skills needed to effectively analyze and interpret flow cytometry data using R programming.
Overview
Syllabus
Introduction to Flow Cytometry in R.
Exploring FCM Data in R.
Processing and Quality Assurance of FCM Data.
1D Static Gating.
Clustering and Additional FCM Tools.
Taught by
BioinformaticsDotCA
