Detecting differentially abundant subpopulations in mass cytometry data
Introduction | Setting up the data | Mocking up a data set | Pre-processing of intensities | Pooling cells together | Estimating transformation parameters | Gating out uninteresting cells | Applying functions to the original data | Normalizing intensities across batches | Counting cells into hyperspheres | Testing for significant differences in abundance | Controlling the spatial FDR | Visualizing and interpreting the results | With static plots | Using a Shiny app | Additional notes | Session information