Improved gene regulatory network inference from single cell data with dropout augmentation
Fig 2
Appropriate amount of augmented dropout helps maintain model robustness and may contribute to better performance.
Color reflects the probability of dropout augmentation. The two thick lines represent two important conditions, 0% - no augmented dropout, and 10% - the default dropout augmentation level we recommend. Dashed lines show the default number of training iterations used in DeepSEM and DAZZLE.