Fig. 4From: GMM-Demux: sample demultiplexing, multiplet detection, experiment planning, and novel cell-type verification in single cell sequencingStability test results. The Seurat classifier produces different classification results with regard to varying Seurat parameters, tl. It also generates inconsistent classification results during repetitive executions and is susceptible to data augmentation (sub-sampling). Classification differences of the Seurat classifier are highlighted in red-dotted circles. GMM-Demux, on the contrary, generates consistent classification resultsBack to article page