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Fig. 2 | BMC Systems Biology

Fig. 2

From: A fast and efficient count-based matrix factorization method for detecting cell types from single-cell RNAseq data

Fig. 2

Performance evaluation on human brain scRNA-seq data. In this data set there are 420 cells in eight different cell types after the exclusion of hybrid cells. Each kind of color represent a kind of cell type. a-h These eight figures display the clustering output of two dimension of tSNE using eight matrix factorization methods(PCA, Nimfa, NMFEM, tSNE, ZIFA, pCMF, ZINB-WaVE, and scNBMF). f This figure shows NMI and ARI values which are from eight compared methods

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