Trans-species learning of cellular signaling systems with bimodal deep belief networks

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Learning a hierarchical representation of the yeast transcriptomic machinery using an autoencoder model (2016, methodology): “More details of the algorithm and pseudo code for training an autoencoder were discussed in both literature and our previous work [7, 9, 10].”
Applications of Deep Learning and Reinforcement Learning to Biological Data (2017, methodology): “used bimodal DBNs to predict responses of human cells under certain stimuli based on responses of rat cells obtained with same stimuli [81].”