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Heatmap   Hierarchical Clustering

Purpose: A heatmap is a graphical way of displaying a table of numbers by using colors to represent the numerical values. The clustering algorithm groups related rows and/or columns together by similarity. For details see Heatmap Hierarchical Explanation.


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Use log transformation? Natural Base10 No transformation
Use threshold value? No   Below threshold value:  Above threshold value:  
  Numbers below/above the given threshold
   Convert to the given threshold for clustering, will appear in the heatmap as white
   Leave as written, but will appear in the heat map as white
Cluster method Distance method
Heatmap Cluster by Rows only Columns only Both None
Colors Palette:
Higher values: High intensity color Low intensity color
Number of colors:
Color key ranges:
Margins Bottom Margin: Right Margin:
Label sizes Row: Column:
See the stability of clusters using bootstraps Iterations
By Standard Bootstrap (slow but accurate)
    scale bar
    show only labels with >= % bootstrap support
pvclust (fast but approximate)
Add vertical color sidebar

Add horizontal color sidebar

This web site was sponsored in part by the Collaboration for AIDS Vaccine Discovery through the CA-VIMC, PI David Montefiori


We thank the Bill & Melinda Gates Foundation and their support of the
Collaboration for AIDS Vaccine Discovery (CAVD) - a component of the Global HIV Vaccine Enterprise.

Bill & Melinda Gates Foundation The Collaboration for AIDS Vaccine Discovery (CAVD) The Global HIV Vaccine Enterprise

last modified: Mon Aug 24 10:15 2015

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