This course teaches participants how to analyze flow cytometry data using R. The learning outcomes include understanding flow cytometry in R, exploring and processing FCM data, performing 1D static gating, utilizing clustering techniques, and applying additional FCM tools. The course focuses on developing skills in data analysis using R specifically for flow cytometry. The teaching method involves hands-on practice with real FCM datasets. This course is intended for individuals interested in learning how to analyze flow cytometry data using R.
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
