VERSION 1.0

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2009/09/09: Web site updated, please refresh your browser's cache (press F5 or Ctrl-R).

Input data matrix filename [?]:
	Data matrix contains numeric column headers
	Data matrix contains numeric row labels
	Transpose data for analysis
Your e-mail address (optional) [?]:

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Choose a normalization method [?]:	Do not normalize Subtract global mean Scale columns, then normalize rows Set mean to 0 and standard deviation to 1, by rows Set mean to 0 and standard deviation to 1, by columns Subtract mean by rows Subtract mean by columns Subtract mean by rows and then by columns

If data is negative, choose a method to make it positive [?]:
Do not do anything	Fold data by columns	Subtract the absolute minimun
Exponential scalling	Fold data by rows

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Analysis type [?]:
Standard NMF [?]	Biclustering analysis [?]	Sample Classification [?]
Number of factors (Kmin) Maximum number of factors (Kmax) [optional] Number of runs per K in range [Kmin..Kmax] Number of iterations per run Stopping threshold Combine matrices in a single file Save all matrices Click here to see an example of output Number of factors (Kmin) Maximum number of factors (Kmax) [optional] Number of runs per K in range [Kmin..Kmax] Number of iterations per run Stopping threshold Sparseness [0..1] Save all matrices Click here to see an example of output Minimum number of factors (Kstart) Maximum number of factors (Kend) Number of random runs per K in range [Kstart..Kend] Click here to see an example of output

If you use this software, please cite this work.

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