Learning the gene coexpression pattern is a central challenge for high-dimensional gene expression analysis. Recently, sparse singular value decomposition (SVD) has been used to achieve this goal.

Various methods have been developed to improve the performance of sentence-level sentiment analysis (SLSA), the newest as graph convolutional networks (GCNs), with promising accuracy. However, it ...

A deep generative model based on a variational autoencoder (VAE), conditioned simultaneously by two target properties, is developed to inverse design stable magnetic materials. The structure of the ...