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Fig. 5 | Journal of Big Data

Fig. 5

From: Deep learning enables the quantification of browning capacity of human adipose samples

Fig. 5

Prediction of browning capacity using ensemble machine learning model. A Pipeline for the prediction of adipose browning capacity using ensemble machine learning model. B Correlation between human browning capacity index (HBI) and F72 levels in WAT training cohort (n = 467), WAT testing cohort (n = 196), brown-like adipocyte validation cohort (n = 12) and tissue validation cohort (n = 6). C GSEA analysis predicting that high HBI is positively correlated with thermogenesis potential in the training cohort. D Forest plots showing performance of HBI in the classification of thermogenesis related processes. E Levels of HBI in different human brown-like datasets, samples were grouped into white and brown-like adipose groups

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