Selkie-13/FlowTron: Cytometry Perceptron annotation

CytoTron is shiny tools which use Keras python and Rkeras api to create and use a classify perceptron to annote cell from cytometry data. With this shiny interface you load your data (train and to annotate data) you can transform (arcsinh to mass and logicle to flow) and compensate (just for flow) your FCS. You can also use a visualisation algorithm (tsne,pca or umap) to create a global plot of analyse. To create your perceptron model you can use cell or cluster to have a quick approximation. Create your model from cell is time consuming but its more precise than cluster.

Getting started

Package details

AuthorQuentin Barbier
MaintainerThe package maintainer <qbarbier.github@gmail.com>
LicenseGNU
Version0.8.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("Selkie-13/FlowTron")
Selkie-13/FlowTron documentation built on June 26, 2020, 5:35 p.m.