Extended Data Fig. 6: Quantitative reproducibility of spatial perturbation mapping. | Nature Biomedical Engineering

Extended Data Fig. 6: Quantitative reproducibility of spatial perturbation mapping.

From: Integrated in vivo combinatorial functional genomics and spatial transcriptomics of tumours to decode genotype-to-phenotype relationships

Extended Data Fig. 6

a, Quantitative reproducibility. Scatterplots of inferred perturbation probabilities for nodules on the primary section to those on the corresponding replica sections, with Pearson’s correlation values displayed. In total, 136 nodule pairs were analysed. b, Matching nodules across samples. Spatial maps of the inferred probabilities (as in Fig. 3c) indicating the presence or absence of each of the 8 perturbations associated with annotated tumour nodules for all samples that have matching ROIs from a single RUBIX experiment with two animals. Matching nodules were manually annotated (Methods). Addition of “_Cyt” in sample name indicates use of 10X CytAssist. Number of matching nodules is indicated.

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