Fig. 2
From: Cancer Biomarker Discovery via Targeted Profiling of Multiclass Tumor Tissue-Derived Proteomes
Analysis of the 53-peptide biomarker panel. Left panel With the 53-feature peptide biomarker panel, the predicted discriminant probabilities of the CC, KC, LC, and BC classes for each sample were calculated from the linear discriminant analysis. The maximum estimated probability for each of the wrongly classified samples is marked with a red arrow. Right panel Unsupervised two dimensional clustering of all CC, KC, LC, and BC samples and the corresponding 53 peptide biomarkers. Heat map reveals relative abundance of these 53 peptide biomarkers in the CC, KC, LC, and BC tumor categories