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A Deep Learning Framework for Prediction of the Mechanism of Action
2021
International Journal of Computer Applications
This paper aims to apply deep learning algorithms to advance a new drug's mechanism of action (MoA) prediction. Since one drug can have one or more MoAs, algorithms must be developed to perform multi-label classification problems. This paper puts forward a deep learning framework, MoA Net, which ensembles one residual network and five convolutional neural networks to predict MoA targets. To find optimal parameter sets, the authors implements Bayesian tuning techniques on each sub network of MoA
doi:10.5120/ijca2021921383
fatcat:vsf65dw6avg4jicy2474ejntje