HIGHLIGHTS
- who: GCNCMI A Graph Convolutional and colleagues from the School of Computer Science and Engineering, Central South University, Changsha, China, Department of Electrical have published the research: GCNCMI: A Graph Convolutional Neural Network Approach for Predicting circRNA-miRNA Interactions, in the Journal: (JOURNAL) of 05/08/2022
- what: The authors develop a graph convolutional network method to mine the deep semantic information that carries collaborative signal in the bipartite graph. The authors compare GCNCMI with six other state-of-the-art methods in bioinformatics. The aim of T-SNE is to convert multi-dimensional datasets . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.