Author:Li Liao

Publications
Link Prediction in Disease-Disease Interactions Network Using a Hybrid Deep Learning Model Ashwag Altayyar and Li Liao EasyChair Preprint 15898
TMHC-MSAT: Accurate Prediction of Inter-Helical Residue Contacts in Transmembrane Proteins Using MSA Transformer Bander Almalki and Li Liao In:Proceedings of the 16th International Conference on Bioinformatics and Computational Biology (BICOB-2024)
Transmembrane Protein Inter-Helical Residue Contacts Prediction Using Transductive Support Vector Machines Bander Almalki, Aman Sawhney and Li Liao In:Proceedings of International Conference on Bioinformatics and Computational Biology (BICOB-2023)

Keyphrases

all disease modules, alpha-helices interaction, Anchor Patch, Association, Comorbidity, connected component, connected components, contact map, Disease, Disease-associated genes, disease associations, disease comorbidity prediction, disease disease interactions network, disease feature vectors, disease-gene associations, Disease graph, disease module, disease module representations, Disease modules, disease network, disease related genes, disease similarity based on gene, disease subgraph, GCN, Graph Neural Networks, graph structure, hybrid deep learning model, hybrid deep learning model for disease disease, Inductive Vs Transductive SVM, Inter-Helical Residue Contacts, learning model for disease disease link prediction, link prediction, networks, neural, PPIs Network, predict disease comorbidity, prediction, protein 3D structure, protein protein interactions ppis, residue-residue interaction, subgraph, subgraph component, Subgraph neural network, subgraph neural networks variational graph auto, TMHC-MSAT, Transductive Support Vector Machines, transmembrane protein, transmembrane proteins, used for comorbidity prediction, Variational graph auto-encoder, VGAE.