Perform Principal Component Analysis (PCA) for a given protein list in a virtual cohort and generate 2D plots to display each sample with respect to the first two principal components.
Perform T-distributed Stochastic Neighbor Embedding (t-SNE) for a given protein list in a virtual cohort and generate 2D plots to show each sample with respect to the two dimensions.
Perform k-means clustering or hierarchical cluster analysis on a virtual cohort.
samples were used in this analysis .
You may download a txt or
RData file for more details.