Extended Data Fig. 1: Dataset Overview. | Nature Methods

Extended Data Fig. 1: Dataset Overview.

From: Deep-learning-based gene perturbation effect prediction does not yet outperform simple linear baselines

Extended Data Fig. 1

(a) Table with the size of the data and the number of perturbations. (b) UMAP on the perturbations per dataset (aggregated to the mean per perturbation). The position of the control condition without perturbation is shown in red, and a random selection of perturbations is labeled. (c) Change in the expression of the target gene of each perturbation. The base of the arrow indicates the expression without perturbation, and the tip indicates the expression after perturbation. For genes targeted multiple times in the Norman dataset, we show the average expression after perturbation.

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