Class Assignment Analysis (Supervised Learning)

The module below allows you to perform a supervised analysis for a pre-normalized input matrix.
To obtain instructions click help.

1) Data Set

UPLOAD your own data:   

OR

use an EXAMPLE data set:


Get helpSee example input


Please upload a tab-delimited matrix file or a zip-archive with CEL-files and label-file, max. size: 100 MB):





(After submission, please wait until the upload has been confirmed)

 
 
     
      
     
       





2) Feature selection method



       
       
       
       




3) Prediction method



       
       
       




4) Parameters



Choose evaluation method:


      Number of cross-validation folds:
      



      
      

Maximum feature subset size (must be >= 2):



4) E-Mail Notification (optional)



Your e-mail address: