Bioinformatics | Oncology | Pharmacology Prediction of anti-cancer drug synergy based on cross-matching network and cancer molecular subtypes. April 25, 2024
Bioinformatics | Genetics | Plant Biology PEA-m6A: an ensemble learning framework for accurately predicting N6-methyladenosine modifications in plants. March 1, 2024
Bioinformatics | Diabetology | Pharmacology StructuralDPPIV: a novel deep learning model based on atom-structure for predicting dipeptidyl peptidase-IV inhibitory peptides. February 2, 2024
Bioinformatics | Computational Biology ConPep: Prediction of peptide contact maps with pre-trained biological language model and multi-view feature extracting strategy. November 10, 2023
Drug Development | Organic Chemistry Retrosynthesis prediction with an interpretable deep-learning framework based on molecular assembly tasks. October 3, 2023
Bioinformatics | Structural Biology Explainable Deep Hypergraph Learning Modeling the Peptide Secondary Structure Prediction. February 16, 2023
Bioinformatics | Computational Biology DeepBIO: an automated and interpretable deep-learning platform for high-throughput biological sequence prediction, functional annotation and visualization analysis. February 16, 2023
Bioinformatics | Oncology | Pharmacology DNN-PNN: a parallel deep neural network model to improve anticancer drug sensitivity. November 21, 2022
Artificial Intelligence | Negotiation Theory An autonomous agent for negotiation with multiple communication channels using parametrized deep Q-network. July 8, 2022
Bioinformatics | Computational Biology | Genomics scIMC: a platform for benchmarking comparison and visualization analysis of scRNA-seq data imputation methods. May 7, 2022
Artificial Intelligence | Game Theory Deep reinforcement learning with emergent communication for coalitional negotiation games. April 18, 2022
Bioinformatics | Genetics | Molecular Biology GC6mA-Pred: A deep learning approach to identify DNA N6-methyladenine sites in the rice genome. February 12, 2022