PCA analysis : This tool performs principal component analysis (PCA) for a
given list of proteins, and generate a 2D plot positioning each sample with respect to the first two principal components. It could help to find patterns without reference to prior knowledge, and helps to spot outlier samples.
This analysis task includes samples (sample IDs) with the required molecular and/or clinical data
from the .
You can download a source file of RData format here.
The analysis parameters and result files are also available in the Analysis History for future visit.
Clustering analysis : This tools performs both K-means clustering and Hierarchical clustering analysis for a given cohort based on relative protein abundances, with cluster groups visualized using t-SNE method.