Identifying disease-related microbes based on multi-scale variational graph autoencoder embedding Wasserstein distance

H Zhu, H Hao, L Yu - BMC biology, 2023 - Springer
Background Enormous clinical and biomedical researches have demonstrated that
microbes are crucial to human health. Identifying associations between microbes and …

Inferring gene regulatory networks with graph convolutional network based on causal feature reconstruction

R Ji, Y Geng, X Quan - Scientific Reports, 2024 - nature.com
Inferring gene regulatory networks through deep learning and causal inference methods is a
crucial task in the field of computational biology and bioinformatics. This study presents a …