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 to better communicate your findings.


Day 1

  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 with high quality results:
    • Scaling flow cytometry data on the Cytobank platform.
    • Correct the spillover fluorescence with a compensation matrix
  3. Basic analysis features:
    • Create manual gates.
    • Export statistics.
  4. Break
  5. Visualize your high dimensional data easily using viSNE:
    • What is a dimensionality reduction algorithm?
    • Reading a viSNE map: how the data look after a dimensionality reduction.
    • Effect of the viSNE settings on the results.
  6. Q&A

Day 2

  1. Automatic segregation of cells in phenotypical similar groups with FlowSOM:
    • Why we want to use a clustering tool?
    • Phenotype FlowSOM clusters and metaclusters.
    • Effect of the FlowSOM settings on the results.
  2. Discover new biomarkers with CITRUS:
    • What does the CITRUS algorithm do?
    • Getting all the information out of the CITRUS models.
    • Effect of the CITRUS settings on the results.
  3. Break
  4. How to answer your biological questions with an analysis workflow on the Cytobank platform: user case study examples.


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.

June 11th & 18th, 2021 July 2nd & 9th, 2021 September 10th & 17th, 2021 October 1st & 18th, 2021