| Tempel: time-series mutation prediction of influenza A viruses via attention-based recurrent neural networks R Yin, E Luusua, J Dabrowski, Y Zhang, CK Kwoh Bioinformatics 36 (9), 2697-2704, 2020 | 62 | 2020 |
| Predicting human microbe–disease associations via graph attention networks with inductive matrix completion Y Long, J Luo, Y Zhang, Y Xia Briefings in bioinformatics 22 (3), bbaa146, 2021 | 51 | 2021 |
| DeepCPP: a deep neural network based on nucleotide bias information and minimum distribution similarity feature selection for RNA coding potential prediction Y Zhang, C Jia, MJ Fullwood, CK Kwoh Briefings in bioinformatics 22 (2), 2073-2084, 2021 | 51 | 2021 |
| Chromatin interaction neural network (ChINN): a machine learning-based method for predicting chromatin interactions from DNA sequences F Cao, Y Zhang, Y Cai, S Animesh, Y Zhang, SC Akincilar, YP Loh, X Li, ... Genome biology 22, 1-25, 2021 | 32 | 2021 |
| Deep learning based DNA: RNA triplex forming potential prediction Y Zhang, Y Long, CK Kwoh BMC bioinformatics 21, 1-13, 2020 | 28 | 2020 |
| Time series computational prediction of vaccines for influenza a h3n2 with recurrent neural networks R Yin, Y Zhang, X Zhou, CK Kwoh Journal of bioinformatics and computational biology 18 (01), 2040002, 2020 | 21 | 2020 |
| Predicting the interaction biomolecule types for lncRNA: an ensemble deep learning approach Y Zhang, C Jia, CK Kwoh Briefings in Bioinformatics 22 (4), bbaa228, 2021 | 20 | 2021 |
| IAV-CNN: a 2D convolutional neural network model to predict antigenic variants of influenza A virus R Yin, NN Thwin, P Zhuang, Z Lin, CK Kwoh IEEE/ACM Transactions on Computational Biology and Bioinformatics 19 (6 …, 2021 | 15 | 2021 |
| DL-CRISPR: a deep learning method for off-target activity prediction in CRISPR/Cas9 with data augmentation Y Zhang, Y Long, R Yin, CK Kwoh IEEE Access 8, 76610-76617, 2020 | 14 | 2020 |
| Heterogeneous graph attention networks for drug virus association prediction Y Long, Y Zhang, M Wu, S Peng, CK Kwoh, J Luo, X Li Methods 198, 11-18, 2022 | 11 | 2022 |
| Chromatin loop anchors predict transcript and exon usage Y Zhang, Y Cai, X Roca, CK Kwoh, MJ Fullwood Briefings in Bioinformatics 22 (6), bbab254, 2021 | 7 | 2021 |
| Predicting drugs for COVID-19/SARS-CoV-2 via heterogeneous graph attention networks Y Long, Y Zhang, M Wu, S Peng, CK Kwoh, J Luo, X Li 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2020 | 4 | 2020 |
| Comet: Convolutional dimension interaction for collaborative filtering Z Lin, L Feng, X Guo, Y Zhang, R Yin, CK Kwoh, C Xu ACM Transactions on Intelligent Systems and Technology 14 (4), 1-18, 2023 | 3 | 2023 |
| Class similarity network for coding and long non-coding RNA classification Y Zhang, Y Long, CK Kwoh BMC bioinformatics 22, 1-14, 2021 | 1 | 2021 |
| Information Theory-Based Feature Selection: Minimum Distribution Similarity with Removed Redundancy Y Zhang, Z Lin, CK Kwoh Computational Science–ICCS 2020: 20th International Conference, Amsterdam …, 2020 | 1 | 2020 |
Chee Keong KWOHNanyang Technological UniversityVerified email at ntu.edu.sg
