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Outlier samples in terms of protein identification numbers and correlation coefficients were identified through Grubbs’ test. To detect differentially expressed proteins within the HCC and LUAD datasets, a straightforward linear model combined with moderated t-statistics was utilized [21]. This analysis was performed using the R/Bioconductor package, limma v.3.24.15. Additionally, for the HCC and LUAD clustering analysis, the Euclidean distance and average clustering algorithm were employed.
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