CAGER: Classification Analysis for Gene Expression Regulation Help

Step 1: provide genes for learning
Provide ORF names for
Positive genes Negative genes
Enter ORF names separated by "Return":  Examples

Or upload text file with list of ORFs, one per line:
Or provide promoter sequences for other organisms:
Positive genes Negative genes
Enter FASTA sequences:
Or upload FASTA file:
Step 2: select feature sets
Use ChIP-chip data (available for Saccharomyces cerevisiae only)

Use motifs from Pilpel et al. (available for Saccharomyces cerevisiae only)

Use motifs identified on training set with AlignACE.

  • Background GC content =
  • Number of Columns to align =
  • Number of sites expected in model
Step 3: provide parameters for decision tree learning
Expect to find regulatory elements on negative genes as well as in positive genes

Apply feature filter to select only top features

Minimum number of genes per node =

Step 4: Provide your email address (required) and