The cim() function generates heatmaps to visualise patterns in a single dataset or correlations between two datasets. It applies hierarchical clustering to rows and columns, displaying results as a color-coded grid with dendrograms indicating relationships. This method complements plotVar() and network(), helping to uncover variable associations and dataset similarities.
Data used on this page:nutrimouse
Key functions used on this page:cim()
Case studies that use this plot:
rCCA – Nutrimouse
sPLS – Liver Toxicity
sPLS-DA – SRBCT
Multilevel – Vac18
N-Integration – TCGA – Specifically the cimDiablo() function is utilised here.
P-Integration – Stem cells