Fig. 2
From: PyBDA: a command line tool for automated analysis of big biological data sets
A PyBDA config file and the corresponding Petri net. Executing a config file (a) generates a corresponding Petri net (b). Here, PyBDA uses a file of single cells as input and then executes dimension reductions (PCA, ICA) and regression models (GLM, RF). The outputs from the dimension reductions are further used for clustering (GMM, k-means) resulting in a total of six sets of files