Originpro

Data presented were acquired from a minimum of 3 independent experiments. Statistical significance was determined using one-way ANOVA with Tukey’s post hoc test for comparisons across multiple samples. Tests were performed using OriginPro (version 2020b) software, and p < 0.05 was considered statistically significant. All graphs were generated using OriginPro (version 2020b) software.

All statistical analyses were performed on OriginPro, if not explicitly stated otherwise. A two-tailed Welch's t-test was used when comparing the difference between two groups, as each group exhibited unequal variance. To assess the statistical significance of a given sensitivity at 90% specificity, a two-tailed one-sample Student's t-test was used against the baseline sensitivity of 10%. Spearman's correlation coefficient was used when assessing the correlation between two profiles of serum protein concentrations. ROC curves were drawn on OriginPro, with score and state values being generated from the SeroHet software, which performs 1,000 iterations of 10-fold cross-validation. Logistic regression was performed using the fitglm function of MATLAB assuming the logistic binomial model of probability. Binary parameter for chronic alcohol consumption was set as one if the individual has a positive history of chronic alcohol intake and as zero if the individual has a negative history of chronic alcohol intake. Bland-Altman test was used to derive p-values from 95% confidence intervals and was performed as previously described [46 ]. Signature-wise Bonferroni correction was utilized to assess the statistical significance of fold changes for each serum protein marker. ∗p-value < 0.05; ∗∗p-value < 0.01; and ∗∗∗p-value < 0.001 were considered statistically significant.