In this study, we proposed HDVAE (Hierarchical Decoupled Variational Autoencoder) which significantly improved ... of the batch effect correction task reaches 1.97. Moreover, the model, through ...

Existing tissue-derived liver organoid models consist of only one cell type and fail to replicate the complex cellular composition and tissue architecture, such as the liver periportal region.

This article introduces the Autoencoder Graph Ensemble Model (AEGEM), a novel ensemble-based framework designed to enhance performance in both endmember extraction and abundance estimation. In the ...

Through effective preprocessing and the utilization of graph convolutional networks, the GCN-Autoencoder model achieved outstanding results, with an accuracy of 99.70%, an F1-score of 99.97%, and a ...

While there are many hypotheses as to how classical psychedelics could induce these effects, there are no concrete mechanistic models that capture the variety of observed effects in humans, while ...