Rui Yin
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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
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
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
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
Whole Genome Sequencing Analysis
R Yin, CK Kwoh, J Zheng
Academic Press, 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
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
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
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
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
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
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
GraphLncLoc: long non-coding RNA subcellular localization prediction using graph convolutional networks based on sequence to graph transformation
M Li, B Zhao, R Yin, C Lu, F Guo, M Zeng
Briefings in Bioinformatics 24 (1), bbac565, 2023
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
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
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, 817067, 2022
A review of enzyme design in catalytic stability by artificial intelligence
Y Ming, W Wang, R Yin, M Zeng, L Tang, S Tang, M Li
Briefings in Bioinformatics 24 (3), bbad065, 2023
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
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), bbac281, 2022
ViPal: a framework for virulence prediction of influenza viruses with prior viral knowledge using genomic sequences
R Yin, Z Luo, P Zhuang, M Zeng, M Li, Z Lin, CK Kwoh
Journal of Biomedical Informatics 142, 104388, 2023
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