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 | 43 | 2020 |
Ensemble prediction of synergistic drug combinations incorporating biological, chemical, pharmacological, and network knowledge P Ding, R Yin, J Luo, CK Kwoh IEEE journal of biomedical and health informatics 23 (3), 1336-1345, 2018 | 39 | 2018 |
Predicting antigenic variants of H1N1 influenza virus based on epidemics and pandemics using a stacking model R Yin, VH Tran, X Zhou, J Zheng, CK Kwoh PloS one 13 (12), e0207777, 2018 | 35 | 2018 |
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 | 16 | 2020 |
Whole Genome Sequencing Analysis R Yin, CK Kwoh, J Zheng Academic Press, 2019 | 14 | 2019 |
A context-free encoding scheme of protein sequences for predicting antigenicity of diverse influenza A viruses X Zhou, R Yin, CK Kwoh, J Zheng BMC genomics 19 (10), 145-154, 2018 | 13 | 2018 |
HopPER: an adaptive model for probability estimation of influenza reassortment through host prediction R Yin, X Zhou, S Rashid, CK Kwoh BMC medical genomics 13 (1), 1-13, 2020 | 12 | 2020 |
Computational identification of physicochemical signatures for host tropism of influenza A virus R Yin, X Zhou, J Zheng, CK Kwoh Journal of bioinformatics and computational biology 16 (06), 1840023, 2018 | 12 | 2018 |
Computational analysis of the receptor binding specificity of novel influenza A/H7N9 viruses X Zhou, J Zheng, FX Ivan, R Yin, S Ranganathan, VTK Chow, CK Kwoh BMC genomics 19 (2), 41-50, 2018 | 9 | 2018 |
Growth differentiation factor 15 is associated with Alzheimer’s disease risk PF Wu, XH Zhang, P Zhou, R Yin, XT Zhou, W Zhang Frontiers in Genetics 12, 700371, 2021 | 8 | 2021 |
GLIMG: Global and local item graphs for top-N recommender systems Z Lin, L Feng, R Yin, C Xu, CK Kwoh Information Sciences 580, 1-14, 2021 | 7 | 2021 |
VirPreNet: a weighted ensemble convolutional neural network for the virulence prediction of influenza A virus using all eight segments R Yin, Z Luo, P Zhuang, Z Lin, CK Kwoh Bioinformatics 37 (6), 737-743, 2021 | 7 | 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 | 6 | 2020 |
Identification of potential critical virulent sites based on hemagglutinin of influenza a virus in past pandemic strains R Yin, X Zhou, FX Ivan, J Zheng, VTK Chow, CK Kwoh Proceedings of the 6th International Conference on Bioinformatics and …, 2017 | 6 | 2017 |
Mendelian randomization analysis suggests no associations of herpes simplex virus infections with multiple sclerosis W Zhang, P Wu, R Yin, M Sun, R Zhang, X Liao, Y Lin, H Lu Frontiers in Neuroscience 16, 2022 | 3 | 2022 |
Joint analysis of genome-wide association data reveals No genetic correlations between low back pain and neurodegenerative diseases P Wu, B Du, B Wang, R Yin, X Lv, Y Dai, W Zhang, K Xia Frontiers in Genetics 12, 744299, 2021 | 3 | 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 | 3 | 2021 |
Alignment-free machine learning approaches for the lethality prediction of potential novel human-adapted coronavirus using genomic nucleotide R Yin, Z Luo, CK Kwoh bioRxiv, 2020.07. 15.176933, 2020 | 2 | 2020 |
Meta-analysis on the lethality of influenza A viruses using machine learning approaches R Yin Nangyang Technological University, 2020 | 2 | 2020 |
A framework for predicting variable-length epitopes of human-adapted viruses using machine learning methods R Yin, X Zhu, M Zeng, P Wu, M Li, CK Kwoh Briefings in Bioinformatics 23 (5), 2022 | 1 | 2022 |