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International Journal of Molecular Sciences|May 14, 2022
Deep Probabilistic Learning Model for Prediction of Ionic Liquids ToxicityMapopa Chipofya, Hilal Tayara, Kil To ChongPharmaceutics|November 27, 2021
Drug Therapeutic-Use Class Prediction and Repurposing Using Graph Convolutional NetworksMapopa Chipofya, Hilal Tayara, Kil To ChongSensors (Basel, Switzerland)|October 11, 2018
Object Detection in Very High-Resolution Aerial Images Using One-Stage Densely Connected Feature Pyramid NetworkHilal Tayara, Kil To ChongCells|December 19, 2019
Improving the Quantification of DNA Sequences Using Evolutionary Information Based on Deep LearningHilal Tayara, Kil To ChongIEEE/ACM Transactions on Computational Biology and Bioinformatics|March 20, 2020
Improved Predicting of The Sequence Specificities of RNA Binding Proteins by Deep LearningHilal Tayara, Kil To ChongInternational Journal of Biological Macromolecules|July 13, 2025
A multimodule graph-based neural network for accurate drug-target interaction prediction via genomic, proteomic, and structural data fusionMaryam, Kil To Chong, Hilal TayaraScientific Reports|January 13, 2021
Prediction of kinase inhibitors binding modes with machine learning and reduced descriptor setsIbrahim Abdelbaky, Hilal Tayara, Kil To ChongComputers in Biology and Medicine|July 20, 2023
An ensemble of stacking classifiers for improved prediction of miRNA-mRNA interactionsPriyash Dhakal, Hilal Tayara, Kil To ChongGenes|August 27, 2021
i4mC-Deep: An Intelligent Predictor of N4-Methylcytosine Sites Using a Deep Learning Approach with Chemical PropertiesWaleed Alam, Hilal Tayara, Kil To ChongJournal of Cheminformatics|September 9, 2021
PUResNet: prediction of protein-ligand binding sites using deep residual neural networkJeevan Kandel, Hilal Tayara, Kil To ChongPageof 12