Extended Data Fig. 5: Run-to-run variability. | Nature Biotechnology

Extended Data Fig. 5: Run-to-run variability.

From: Super-resolved spatial transcriptomics by deep data fusion

Extended Data Fig. 5

Results are based on four restarts of an analysis of the ileum of the human small intestine. a, Correlation plots. Each plot shows the predicted mean count for every gene in 100 test regions in two different runs. The test regions are sampled uniformly over the tissue surface and have the same size as the measurement locations in the original dataset. Correlation coefficients are computed over all genes and test locations (n = 6869 × 100 = 686 900). b, Differences in predicted means E[νi] − E[νj] against prediction uncertainty \(\sqrt{V({\nu }_{i})+V({\nu }_{j})}\) for runs i and j. In red, points indicate the 50th and error bars the 5th and 95th percentiles in evenly distributed bins.

Back to article page