Extended Data Fig. 2: Testing machine learning methods on ground truth datasets.
From: Putative cell type discovery from single-cell gene expression data
Five machine learning models were tested on the five ground truth datasets (Baron mouse cells (1,886 cells), Baron human cells (8,199 cells), Shekhar (26,830 cells), Segerstolpe (2,108 cells), Zeisel (3,005 cells)). The data were randomly split into a training set and a test set for self-projection, and this process was repeated 100 times. The distributions of the self-projection accuracies and the mean accuracy of cross-validation in the training were plotted as violin plots.
