Fig. 6: Analyses of SV gene identification algorithms with mouse neuron tissues data generated with LCM-seq technology. | Nature Communications

Fig. 6: Analyses of SV gene identification algorithms with mouse neuron tissues data generated with LCM-seq technology.

From: Identification of spatially variable genes with graph cuts

Fig. 6

a, b Venn diagram and bar plot showing the overlap and number of SV genes identified by different methods from mouse medial ganglionic eminence (MGE). (c) Bar plot showing the number of detected RNA SPIKEs (designed as negative controls) by different methods. d, e Venn diagram and bar plot showing the overlap and number of SV genes identified by different methods from mouse motor neurons (MNs) tissues. f Graph cuts of representative known spatial marker genes identified by scGCO. Thick black lines denote the boundaries of different segments. Cells are colored according to gene expression levels. g Venn diagram showing the overlap of the MN marker genes, twelve homeobox genes, six non-spatial expression genes and SV genes identified by scGCO, spatialDE, SPARK, and SOMDE, respectively. Source data are provided as a Source Data file.

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