This clustermap represents copy number variants(CNV) in which rows explains features(CNV driven variable)while columns shows patients/sample.
Cluster-feature is based on similarity between CNV pattern across samples. In this heatmap, we can see that there is three different colours .Dark blue that indicates low or zero value of CNV features and white or light-yellow indicates moderate of CNV features and red or orange indicates higher value of CNV features.
In this heatmap, we can see that most of the CNV are present in dark blue that means the CNV features are very low or absent. Some of the CNV presents in some specific region of white, orange or yellow. This shows some CNV signals for particular features.
More alteration in CNV that causes genomic instability and instability of genomic structures reflects disease progression like cancer progression.
Cluster of this heatmap may predicts biomarker for selection in treatment of diseases, it may help in personalized treatment applications by seeing cluster pattern.
CNV pattern significant contribute to different disease like cancer, congenital disorders ,certain cardio-vascular condition, intellectual disability etc.

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