Figure 2
From: SMAC, a computational system to link literature, biomedical and expression data
Bioinformatics analyses performed by SMAC. The Principal Component Analysis (A) permits to highlight the key sources of variation. Gene expression heatmap (B) shows the normalised levels for the most variable genes. An interactive gene network (C) reflects the association rate among the genes in selected publications. The cellular purity of cancer samples is presented in a single, interactive scatterplot (D). Two interactive barplots (E) show the percentage of breast cancer samples belonging to each molecular subtype and receptor status profile.
