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Kil To Chong

Showing results (11-20 of 113) with videos related to

Pageof 12
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Genomics|August 23, 2019
Identification of prokaryotic promoters and their strength by integrating heterogeneous featuresHilal Tayara, Muhammad Tahir, Kil To Chong
International Journal of Molecular Sciences|August 12, 2022
ENet-6mA: Identification of 6mA Modification Sites in Plant Genomes Using ElasticNet and Neural NetworksZeeshan Abbas, Hilal Tayara, Kil To Chong
Journal of Chemical Information and Modeling|June 14, 2024
Advancing Peptide-Based Cancer Therapy with AI: In-Depth Analysis of State-of-the-Art AI ModelsSadik Bhattarai, Hilal Tayara, Kil To Chong
Archives of Toxicology|April 15, 2024
Harnessing machine learning to predict cytochrome P450 inhibition through molecular propertiesHamza Zahid, Hilal Tayara, Kil To Chong
Iscience|February 29, 2024
Unveiling dominant recombination loss in perovskite solar cells with a XGBoost-based machine learning approachBasir Akbar, Hilal Tayara, Kil To Chong
Scientific Reports|January 13, 2021
Prediction of kinase inhibitors binding modes with machine learning and reduced descriptor setsIbrahim Abdelbaky, Hilal Tayara, Kil To Chong
Computers in Biology and Medicine|July 20, 2023
An ensemble of stacking classifiers for improved prediction of miRNA-mRNA interactionsPriyash Dhakal, Hilal Tayara, Kil To Chong
Pharmaceutics|November 27, 2021
Drug Therapeutic-Use Class Prediction and Repurposing Using Graph Convolutional NetworksMapopa Chipofya, Hilal Tayara, Kil To Chong
Genes|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 Chong
Journal of Cheminformatics|September 9, 2021
PUResNet: prediction of protein-ligand binding sites using deep residual neural networkJeevan Kandel, Hilal Tayara, Kil To Chong
Pageof 12

Showing results (11-20 of 113) with videos related to

Sort By:
Pageof 12
Genomics|August 23, 2019
Identification of prokaryotic promoters and their strength by integrating heterogeneous featuresHilal Tayara, Muhammad Tahir, Kil To Chong
International Journal of Molecular Sciences|August 12, 2022
ENet-6mA: Identification of 6mA Modification Sites in Plant Genomes Using ElasticNet and Neural NetworksZeeshan Abbas, Hilal Tayara, Kil To Chong
Journal of Chemical Information and Modeling|June 14, 2024
Advancing Peptide-Based Cancer Therapy with AI: In-Depth Analysis of State-of-the-Art AI ModelsSadik Bhattarai, Hilal Tayara, Kil To Chong
Archives of Toxicology|April 15, 2024
Harnessing machine learning to predict cytochrome P450 inhibition through molecular propertiesHamza Zahid, Hilal Tayara, Kil To Chong
Iscience|February 29, 2024
Unveiling dominant recombination loss in perovskite solar cells with a XGBoost-based machine learning approachBasir Akbar, Hilal Tayara, Kil To Chong
Scientific Reports|January 13, 2021
Prediction of kinase inhibitors binding modes with machine learning and reduced descriptor setsIbrahim Abdelbaky, Hilal Tayara, Kil To Chong
Computers in Biology and Medicine|July 20, 2023
An ensemble of stacking classifiers for improved prediction of miRNA-mRNA interactionsPriyash Dhakal, Hilal Tayara, Kil To Chong
Pharmaceutics|November 27, 2021
Drug Therapeutic-Use Class Prediction and Repurposing Using Graph Convolutional NetworksMapopa Chipofya, Hilal Tayara, Kil To Chong
Genes|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 Chong
Journal of Cheminformatics|September 9, 2021
PUResNet: prediction of protein-ligand binding sites using deep residual neural networkJeevan Kandel, Hilal Tayara, Kil To Chong
Pageof 12