PyCytoData: An Elegant Data Analysis Tool for CyTOF
Do you ever dream of using a single pipeline for all your CyTOF needs? Look no further: PyCytoData is all you need! We offer a complete pipeline for you to both acquire data as well as do downstream analyses. This is a flexible and extensible to support future packages and other workflows.
To get started, you can reference this quick example:
>>> from PyCytoData import DataLoader >>> exprs = DataLoader.load_dataset(dataset = "levine13", preprocess=True) Would you like to download levine13? [y/n]y Download in progress... This may take quite a while, go grab a coffee or cytomulate it! >>> exprs.run_dr_methods(methods = ["PCA", "UMAP", "ICA"]) Running PCA Running ICA Running UMAP
For more detailed documentations and examples, look at the topics and tutorials below! Enjoy your journey working with CyTOF datasets!
For more resources on our labs, collaborators, and related projects, please visit the following: