MK-TGAN, a multi-kernel graph neural network-based GAN, produces synthetic transcriptomic data with higher realism and downstream utility than existing generative models on an EMT gene panel.
Nature583(7818), 452–460 (2020)
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Novel Knowledge-Guided Generative Methods for Synthetic Transcriptomic Data
MK-TGAN, a multi-kernel graph neural network-based GAN, produces synthetic transcriptomic data with higher realism and downstream utility than existing generative models on an EMT gene panel.