FIGURE

Figure S2.

ID

ZDB-FIG-250523-64

Publication

Yang et al., 2025 - Deep learning models link local cellular features with whole-animal growth dynamics in zebrafish

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Figure S2.

Principal component analysis-extracted features are not effective in classifying fish size.

(A) Schematic flowchart of the inputs, Random Forest model, and growth size classification. Top five extracted PCA components were used as inputs for training. (B) Confusion matrix and F-score of the training results. Scores above 0.7 are shown in black for ease of visualization. (C) UMAP analysis of the three size clusters based on the top five extracted PCA components. (D) Confusion matrix and F-score of the random guessing results.

Expression Data

Expression Detail

Antibody Labeling

Phenotype Data

Phenotype Detail

Acknowledgments

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