rogerswt/panoplyCF: Cell-based Analysis Using t-SNE on Cytometric Fingerprints

PanoplyCF combines the speed and efficiency of Cytometric Fingerprinting (implemented in flowFP) with t-SNE dimensionality reduction. Conventional t-SNE imbedding cannot be applied prospectively to new data. That is, the transformation cannot be stored and retrieved for future use. PanoplyCF solves this problem by doing the imbedding on CF bin centroids rather than individual events. Thus, new data can be projected onto a given set of bins, represented in a flowFPModel, and thus transported into a pre-existing t-SNE map.

install.packages("remotes")
remotes::install_github("rogerswt/panoplyCF")