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Fig. 2 | BMC Bioinformatics

Fig. 2

From: PyBDA: a command line tool for automated analysis of big biological data sets

Fig. 2

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

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