RABIT:   Regression Analysis with Background InTegration
is a very efficient feature selection algorithm. We applied RABIT to find gene expression regulators in shaping tumor specific gene expression patterns. The gene expression regulator could be transcription factor (TF) or RNA binding protein (RBP). Besides our application here, you can use RABIT as a general algorithm for feature selection. You can search the results of RABIT analysis on TCGA data here.
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