We introduce GRouNdGAN, a gene regulatory network (GRN)-guided reference-based causal implicit generative model for simulating single-cell RNA-seq data, in silico perturbation experiments, and ...
The relentless growth of the Internet of Things has transformed ordinary environments into vast webs of interconnected ...
Graph neural networks (GNNs) are a type of neural network architecture and deep learning method that can help users analyze graphs, enabling them to make predictions based on the data described by a ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results