Learning Association Characteristics by Dynamic Hypergraph and Gated Convolution Enhanced Pairwise Attributes for Prediction of Disease-Related lncRNAs
Article in Journal of Chemical Information and Modeling (March 2024)
The most recent citing publications are shown below. View all 15 publications that cite this research output on Dimensions.
GCNFORMER: graph convolutional network and transformer for predicting lncRNA-disease associations
Article in BMC Bioinformatics (January 2024)
idenLD-AREL: identifying lncRNA-disease associations by random forests based on an ensemble learning framework
Conference proceeding (December 2023)