Graph deep learning enabled spatial domains identification for spatial transcriptomics.
Sign Up to like & getrecommendations! Published in 2023 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbad146
Abstract: Advancing spatially resolved transcriptomics (ST) technologies help biologists comprehensively understand organ function and tissue microenvironment. Accurate spatial domain identification is the foundation for delineating genome heterogeneity and cellular interaction. Motivated by this perspective, a graph… read more here.
Keywords: learning enabled; enabled spatial; deep learning; graph deep ... See more keywords
Spatio-Temporal Graph Deep Neural Network for Short-Term Wind Speed Forecasting
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Sustainable Energy"
DOI: 10.1109/tste.2018.2844102
Abstract: Wind speed forecasting is still a challenge due to the stochastic and highly varying characteristics of wind. In this paper, a graph deep learning model is proposed to learn the powerful spatio-temporal features from the… read more here.
Keywords: graph deep; wind speed; graph; speed forecasting ... See more keywords