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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
Options
Use log transformation? Natural Base10 No transformation
 
Use threshold value? No   Below threshold value:  Above threshold value:  
 
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
(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

CAVIMC logo
 

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 19 15:41 2013


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

 
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