Yu Zhang
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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
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
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
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
Deep learning based DNA: RNA triplex forming potential prediction
Y Zhang, Y Long, CK Kwoh
BMC bioinformatics 21, 1-13, 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
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
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
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
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
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
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
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
Class similarity network for coding and long non-coding RNA classification
Y Zhang, Y Long, CK Kwoh
BMC bioinformatics 22, 1-14, 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
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