TF and acute lymphoblastic leukemia: For each of the datasets described we created regulatory networks for every sample and applied a meta-classifier (see Methods) that in the first step ranks the features (using an information gain measure) to identify the set of TF-gene links that collectively separate between classes (e.g., acute myeloid and acute lymphocytic leukemia populations).