3 papers
cs.AI2026
Modalities Should Talk to Each Other: Dual-Stream Multimodal Learning for Long-Horizon Influenza Forecasting
Seyed Mohammad Hossein Hashemi, Mohsen Hooshmand, Parvin Razzaghi
Forecasting long-range influenza-like illness (ILI) matters for public health readiness. Publicly available surveillance datasets typically pair numeric epidemiological signals wit…
cs.LG2026
EssentialGIN: a new approach for gene essentiality prediction based on graph isomorphism neural networks
Sahar Mansouri-Rad, Zahra Narimani, Parvin Razzaghi +1
Background: Prediction of essential genes (proteins), is a basic and challenging problem but at the same time very costly and time-consuming in wet-lab experiments. Predicting esse…
q-bio.QM2024
PLA-SGCN: Protein-Ligand Binding Affinity Prediction by Integrating Similar Pairs and Semi-supervised Graph Convolutional Network
Karim Abbasi, Parvin Razzaghi, Amin Ghareyazi +1
The protein-ligand binding affinity (PLA) prediction goal is to predict whether or not the ligand could bind to a protein sequence. Recently, in PLA prediction, deep learning has r…