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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.

Input

Paste your data here

[Clear 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:  
Output format options Cluster
 
Clustering: Rows only  Columns only  Both
Number of clusters:   Row   Column
Cluster support threshold: use default   set %
  Color
 
Palette:
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
(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: Fri Jul 18 12:10 2014


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