Principal Component Analysis. (a) first (x-axis) and second (y-axis) principal components capture more than 90% of variance in both Myriad-RBM and Olink datasets but are unable to separate case and control samples (supported visually by heavily overlapping red and blue density maps). (b) the same PCA plots as (a) with samples colored with anonymized sister pair indices reveal that, when evaluated in covariance, protein levels are not more similar between biological sisters than between unrelated individuals in the antibody-based assays. (DOCX 604Â kb
PAM50 classification quality control of TCGA’s samples I. A) Principal components analysis of the tr...
Figure S1. Scatterplots of the UPS1 dataset showing the position of the true positives and the true ...
Figure S2. Comparisons of the expression levels of immune-related genes between TNBC subtypes. A. Co...
Measured Protein Levels Across LC-MS/MS, Olink, and Myriad-RBM platforms. (XLSX 98Â kb
Additional file 1: Figure S1: Boxplot of median serum and plasma concentration. Figure S2: Serum-to-...
Principal component analysis performed on the gene expression data from the training cohorts. Data f...
Figure S1. Processing of proteome data. Figure S2. Overlap in identified proteins between our study ...
Table S1. Candidate cancer biomarkers. Table S2. Comparisons of amino acid concentrations reported i...
Exploratory data analysis of putative biological confounders. a) Variance explained per principal co...
Scatter plots of gene expression values between samples. A figure illustrating how similar of genes ...
Tables S1-S2 Complete list of antibodies included in serum bead array (SBA) 1 and 2 (sheet 1 and 2)....
Figure S1.. Principal component analysis (PCA) of Control vs High-grade dysplasia (HG). Figure S2. P...
PCA result representation of external TNBC and non-TNBC data. PCA is computed based on the TNBC data...
RC-C HCL clustering using qPSP using various alpha thresholds (A) Using top and bottom ranked protei...
Clustering in PCA analysis is influenced by the composition of the dataset as a whole. a Heat map of...
PAM50 classification quality control of TCGA’s samples I. A) Principal components analysis of the tr...
Figure S1. Scatterplots of the UPS1 dataset showing the position of the true positives and the true ...
Figure S2. Comparisons of the expression levels of immune-related genes between TNBC subtypes. A. Co...
Measured Protein Levels Across LC-MS/MS, Olink, and Myriad-RBM platforms. (XLSX 98Â kb
Additional file 1: Figure S1: Boxplot of median serum and plasma concentration. Figure S2: Serum-to-...
Principal component analysis performed on the gene expression data from the training cohorts. Data f...
Figure S1. Processing of proteome data. Figure S2. Overlap in identified proteins between our study ...
Table S1. Candidate cancer biomarkers. Table S2. Comparisons of amino acid concentrations reported i...
Exploratory data analysis of putative biological confounders. a) Variance explained per principal co...
Scatter plots of gene expression values between samples. A figure illustrating how similar of genes ...
Tables S1-S2 Complete list of antibodies included in serum bead array (SBA) 1 and 2 (sheet 1 and 2)....
Figure S1.. Principal component analysis (PCA) of Control vs High-grade dysplasia (HG). Figure S2. P...
PCA result representation of external TNBC and non-TNBC data. PCA is computed based on the TNBC data...
RC-C HCL clustering using qPSP using various alpha thresholds (A) Using top and bottom ranked protei...
Clustering in PCA analysis is influenced by the composition of the dataset as a whole. a Heat map of...
PAM50 classification quality control of TCGA’s samples I. A) Principal components analysis of the tr...
Figure S1. Scatterplots of the UPS1 dataset showing the position of the true positives and the true ...
Figure S2. Comparisons of the expression levels of immune-related genes between TNBC subtypes. A. Co...