Fig. 7
From: Metabolism-related proteins as biomarkers for predicting prognosis in polycystic ovary syndrome
The correlation between clinical data and prognostic proteins. (A) Heatmap showing the correlation between clinical data and prognostic proteins identified from the study. Pearson’s correlation coefficients are presented, with significant correlations (p < 0.05) marked by *. (B) Scatter plot illustrating the significant negative correlation between BMI and GLS, with a fitted regression line (r = -0.44, p = 0.01). (C) Scatter plot showing the significant positive correlation between CHO and LDHB, with a fitted regression line (r = 0.35, p = 0.04)