In Silico Drug Combination Discovery for Personalized Cancer Therapy
We propose an in-silico method for personalized drug combination therapy discovery. We predict synergy between two drugs and a cell line using genomic information, targets of drugs, and pharmacological information. We calculate and predict the synergy scores of 583 drug combinations for 31 cancer cell lines..
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