Join a live training session on the Cytobank platform and move quickly from data to insights!

Learning Objectives

  • Discover how to annotate and organize your data sets on the Cytobank platform.
  • Understand machine learning-assisted analysis of high dimensional data.
  • Create meaningful illustrations with statistical inference results to easily communicate your findings.

Day 1 | From 9:00 AM to 13:00 PM CET
  1. The Cytobank information management system:
    • How to create experiments and store your data.
    • Don't lose track of your analysis workflow: linked analysis and sample tags.
  2. High quality data provides you high quality results:
    • Scaling flow cytometry data on the Cytobank platform.
    • Correct the spillover fluorescence with a compensation matrix
  3. Basic analysis features: stain index, manual gates and export statistics  
  4. Break
  5. Visualize your high dimensional data using dimensionality reduction (DR):
    • What is a DR algorithm and the Cytobank DR suite?
    • Reading a DR map: how the data look after a DR analysis.
    • Advanced DR settings and when we need to change them.
  6. Q&A

Day 2 | From 9:00 AM to 13:00 PM CET
  1. Automatic segregation of cells in phenotypical similar groups with FlowSOM:
    • Why should we use a clustering tool?
    • Setting up a FlowSOM analysis.
    • Phenotype FlowSOM clusters and metaclusters.
    • Identify significant metaclusters using common statistical inference tests.
  2. Discover new biomarkers with CITRUS:
    • What is CITRUS?
    • Getting all the information out of the CITRUS models.
    • Effect of the CITRUS settings on the results.
  3. Break
  4. How to integrate your pipeline of analysis on the Cytobank platform: user case study examples.
  5. Q&A

Sign up for a two-day training session with our Application Specialist to get you up to speed with machine learning-assisted analysis with the Cytobank platform.

January 18th & February 1st, 2022 February 16th & 23rd, 2022 March 15th & 22nd, 2022