抽象的な
A comprehensive review on drug synergy prediction techniques
Preeti karma, Harmeet Singh
Drug synergy is a critical area in the field of medicine. The correct drug-drug combination is highly needed to cure the life threatening diseases like blood cancer, lung cancer, throat cancer, etc. Drug synergy can be predicted with the help of machine learning models. In this paper, the comprehensive review on the recently proposed drug synergy techniques has been presented. The comparison between various machine learning based drug synergy prediction techniques has also been presented. The overall objective is to evaluate the various shortcomings in machine learning based drug synergy prediction techniques and to draw suitable future directions.
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