Dear all,
We are pleased to announce an upcoming online course on Flow Cytometry Data Analysis with R/Bioconductor, scheduled for 2–4 February.
This course provides a practical introduction to analysing flow cytometry data using R and Bioconductor, covering data preprocessing, population identification through clustering and gating, and visualisation techniques.
Learning outcomes:
- Understand the flow cytometry machinery and its analytical purpose.
- Be able to set up the infrastructure for and write basic data analytic scripts in R.
- Describe and execute each step in the flow cytometry data analytics pipeline in R/Bioconductor.
- Be comfortable with interpreting and eliciting conclusions from the results of the flow cytometry data analytics pipeline.
For more information and registration, please visit: https://www.physalia-courses.org/cou...low-cytometry/
Best regards,
Carlo
--------------------
Carlo Pecoraro, Ph.D
Physalia-courses DIRECTOR
[email protected]
Bluesky Linkedin
We are pleased to announce an upcoming online course on Flow Cytometry Data Analysis with R/Bioconductor, scheduled for 2–4 February.
This course provides a practical introduction to analysing flow cytometry data using R and Bioconductor, covering data preprocessing, population identification through clustering and gating, and visualisation techniques.
Learning outcomes:
- Understand the flow cytometry machinery and its analytical purpose.
- Be able to set up the infrastructure for and write basic data analytic scripts in R.
- Describe and execute each step in the flow cytometry data analytics pipeline in R/Bioconductor.
- Be comfortable with interpreting and eliciting conclusions from the results of the flow cytometry data analytics pipeline.
For more information and registration, please visit: https://www.physalia-courses.org/cou...low-cytometry/
Best regards,
Carlo
--------------------
Carlo Pecoraro, Ph.D
Physalia-courses DIRECTOR
[email protected]
Bluesky Linkedin