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:   


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: