Extended Data Fig. 2: The pipeline to test the deep neural network model’s generalizability and accuracy. | Nature Methods

Extended Data Fig. 2: The pipeline to test the deep neural network model’s generalizability and accuracy.

From: TransBrain: a computational framework for translating brain-wide phenotypes between humans and mice

Extended Data Fig. 2: The pipeline to test the deep neural network model’s generalizability and accuracy.

(a) One of the six AHBA donors was excluded as the independent test set, while the remaining five were used for training. Each AHBA/single-nucleus donor pair underwent independent integration. For all combinations, integration was repeated 100 times, and each dataset underwent 10 rounds of model training and testing. During training, stratified 10% validation sets were defined based on pre-integration AHBA sample labels per brain region.

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