Should we really use graph neural networks for transcriptomic prediction?
Céline Brouard,
Raphaël Mourad,
Nathalie Vialaneix
Abstract:The recent development of deep learning methods have undoubtedly led to great improvement in various machine learning tasks, especially in prediction tasks. This type of methods have also been adapted to answer various problems in bioinformatics, including automatic genome annotation, artificial genome generation or phenotype prediction. In particular, a specific type of deep learning method, called graph neural network (GNN) has repeatedly been reported as a good candidate to predict phenotypes from gene expr… Show more
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