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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.

Input

Paste your data here

[Sample Input]
Or upload a data file
Delimiter Space   Tab Comma  
Options
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
 
Distance method
 
Cluster Rows only Columns only Both None
  Method  
Sort by means after clustering
 
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:
 
Stability of clusters
Calculate 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
(rows)


Add horizontal color sidebar
(columns)





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

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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: Wed Apr 13 13:13 2016


Questions or comments? Contact us at seq-info@lanl.gov.

 
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