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Heatmap   Kmeans clustering

Purpose: A heatmap is a graphical way of displaying a table of numbers by using colors to represent numerical values. Kmeans clustering is performed by clustering the rows and columns by bootstrapping and/or noise data. For more details see the Heatmap Kmeans Explanation.


Paste your data here

[Sample Input]
Or upload a data file
Delimiter Space   Tab Comma  
Use data transformation Natural log  Log base10  Square root  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
Output format options Cluster
Clustering: Rows only  Columns only  Both
Number of clusters:   Row   Column
Cluster support threshold: use default   set %
Higher values: High intensity color   Low intensity color
Number of colors:
Color key ranges:
Margins Label sizes
   Bottom:   Right:    Row:   Column:
# of resamplings (iterations applied to bootstrapping and/or noise data)
Cluster heatmap by bootstrapping   and/or   noise data (if checked, provide noise data below)

Paste your noise data here

[Clear Sample Noise Input]
Or upload noise data file
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: Wed Apr 13 15:01 2016

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