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Fig. 6 | Journal of Big Data

Fig. 6

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

Fig. 6

Performance of HBI in the quantification of browning potential in obesity and T2DM patients. A Correlation between HBI and z-scored ssGSEA scores of Thermogenesis and FA degradation in normal (n = 102), overweight (n = 153) and obese (n = 51) individuals. B Volcano plot showing the Pearson coefficients between HBI and genome-wide (ngene = 13,530) gene expression levels in normal (n = 102), overweight (n = 153) and obese (n = 51) group. Several lipid metabolism-related genes are annotated on the plot. C GO enrichment analysis to the genes that positively correlated to HBI levels in normal, overweight and obese individuals. D Correlation between HBI and z-scored ssGSEA scores of Thermogenesis and FA degradation in insulin resistance (IR) patients (n = 59). E Volcano plot showing the Pearson coefficients between HBI and genome-wide gene expression levels in IR group. Several lipid metabolism-related genes are annotated on the plot. F GO enrichment analysis to the genes that positively correlated to HBI levels in IR patients

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