These tutorials are intended to educate users on various aspects of analysis, rather and serve as specific workflows for a complete analysis pipeline. Most tutorials do have recommendations or specific instructions for performing certain functions (e.g. data export from FlowJo).
|Arcsinh and data transformation||Manipulating and filtering data in R using data.table||Making great plots with Spectre and ggplot2|
|A tutorial on transformations for cytometry data, specifically using the arcsinh transformations.||A tutorial on rapid data manipulation and filtering operations for large datasets using data.table.||Instructions for creating high-quality coloured tSNE/UMAP plots using Spectre's wrapper for ggplot2.|
On computational analysis
|Thinking about computational 'discovery' analysis approaches||Strategic use of clustering and dimensionality reduction|
|A brief discussion on the advantages and disadvantages of computational 'discovery' approaches, including clustering and dimensionality reduction.||A tutorial on strategic use of clustering and dimensionality reduction, including which tools to use and why, the number of cells to analyse, how to interact with tSNE/UMAP plots with gates, etc.|