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Machine-learning system ranks most effective cancer drugs

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The key metric used by DRUML is drug response distance (D), which is computed using empirical markers of drug responses identified in the training set. The D metric is the difference in overall expression of markers increased in drug sensitive cells relative to markers increased in drug resistant cells within a sample. Because D is an internally normalized metric, obtained by subtracting averaged signals from two sets of phosphosites, proteins, or transcripts within a given sample, DRUML can use D to predict drug responses in a new cancer-derived sample without comparing it against a control or reference sample set.