Extended Data Fig. 10: Computational resource requirements. | Nature Methods

Extended Data Fig. 10: Computational resource requirements.

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

Extended Data Fig. 10

The resource usage was measured for the Norman dataset, which had 19 624 genes and 81 143 cells grouped into 225 conditions. Each point is one of the five test-training splits. (a) Elapsed time on a log scale to fine-tune and predict the double perturbations. (b) Peak memory usage for each model was measured using GNU time. The points are colored by the respective GPU model that was used.

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