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. 2022 Jun 27;2(6):387–398. doi: 10.1038/s43588-022-00263-8

Fig. 6. Application of ActiveSVM to identify genes expression changes following Cebp knock-down with perturb-seq.

Fig. 6

The results of classification on perturb-seq data where cells are labeled and classified as Cebp sgRNA transduced or not transduced with a guide RNA. a,b, Accuracy of entire dataset with min-complexity strategy, where comparison methods use the same number of cells as ActiveSVM (a), and use the entire dataset (b). c, Correlation matrix showing pair-wise correlation coefficients for genes in Cebp-perturbed cells. The correlation matrix identifies two gene modules. d, Distributions of gene expression in Cebp sgRNA transduced (orange) or not transduced (blue) cells. Selected genes from modules in c shown and organized so that genes whose expression increases with Cebp perturbation are on top and repressed genes are on the bottom of the figure.

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