| Inferring MicroRNA-Disease Associations by Random Walk on a Heterogeneous Network with Multiple Data Sources Y Liu, X Zeng, Z He, Q Zou IEEE/ACM Transactions on Computational Biology and Bioinformatics 14 (4 …, 2017 | 277 | 2017 |
| Prediction and Validation of Disease Genes Using HeteSim Scores X Zeng, Y Liao, Y Liu, Q Zou IEEE/ACM Transactions on Computational Biology and Bioinformatics 14 (3 …, 2017 | 230 | 2017 |
| Toward better drug discovery with knowledge graph X Zeng, X Tu, Y Liu, X Fu, Y Su Current Opinion in Structural Biology 72, 114-126, 2022 | 53 | 2022 |
| Molecular design in drug discovery: a comprehensive review of deep generative models Y Cheng, Y Gong, Y Liu, B Song, Q Zou Briefings in Bioinformatics, https://doi.org/10.1093/bib/bbab344, 2021 | 39 | 2021 |
| Deep learning methods for biomedical named entity recognition: a survey and qualitative comparison B Song, F Li, Y Liu, X Zeng Briefings in Bioinformatics 22 (6), bbab282, 2021 | 35 | 2021 |
| Deep learning in retrosynthesis planning: datasets, models and tools J Dong, M Zhao, Y Liu, Y Su, X Zeng Briefings in Bioinformatics 23 (1), bbab391, 2022 | 32 | 2022 |
| High-speed and high-ratio referential genome compression Y Liu, H Peng, L Wong, J Li Bioinformatics 33 (21), 3364–3372, 2017 | 28 | 2017 |
| Index suffix-prefix overlaps by (w, k)-minimizer to generate long contigs for reads compression Y Liu, Z Yu, ME Dinger, J Li Bioinformatics 35 (12), 2066-2074, 2019 | 27 | 2019 |
| Fast detection of maximal exact matches via fixed sampling of query k-mers and Bloom filtering of index k-mers Y Liu, LY Zhang, J Li Bioinformatics 35 (22), 4560-4567, 2019 | 21 | 2019 |
| Learning spatial structures of proteins improves protein–protein interaction prediction B Song, X Luo, X Luo, Y Liu, Z Niu, X Zeng Briefings in Bioinformatics, 2022 | 18 | 2022 |
| Minirmd: accurate and fast duplicate removal tool for short reads via multiple minimizers Y Liu, X Zhang, Q Zou, X Zeng Bioinformatics 37 (11), 1604-1606, 2021 | 14 | 2021 |
| Review of unsupervised pretraining strategies for molecules representation L Yu, Y Su, Y Liu, X Zeng Briefings in Functional Genomics 20 (5), 323–332, 2021 | 13 | 2021 |
| Deep learning detection of anomalous patterns from bus trajectories for traffic insight analysis X Zhang, Y Zheng, Z Zhao, Y Liu, M Blumenstein, J Li Knowledge-Based Systems 217, 106833, 2021 | 9 | 2021 |
| Allowing mutations in maximal matches boosts genome compression performance Y Liu, L Wong, J Li Bioinformatics 36 (18), 4675-4681, 2020 | 9 | 2020 |
| Sketch distance-based clustering of chromosomes for large genome database compression T Tang, Y Liu, B Zhang, B Su, J Li BMC genomics 20, 1-9, 2019 | 6 | 2019 |
| A deep learning ensemble approach to prioritize antiviral drugs against novel coronavirus SARS-CoV-2 for COVID-19 drug repurposing K Deepthi, AS Jereesh, Y Liu Applied Soft Computing 113, 107945, 2021 | 5 | 2021 |
| Detection of anomalous traffic patterns and insight analysis from bus trajectory data X Zhang, X Zhang, S Verma, Y Liu, M Blumenstein, J Li PRICAI 2019: Trends in Artificial Intelligence: 16th Pacific Rim …, 2019 | 4 | 2019 |
| Chromosome preference of disease genes and vectorization for the prediction of non-coding disease genes H Peng, C Lan, Y Liu, T Liu, M Blumenstein, J Li Oncotarget 8 (45), 78901, 2017 | 3 | 2017 |
| Modality-DTA: Multimodality fusion strategy for drug-target affinity prediction X Yang, Z Niu, Y Liu, B Song, W Luins, L Zeng, X Zeng IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2022 | 2 | 2022 |
| Predicting ncRNA–protein interactions based on dual graph convolutional network and pairwise learning L Zhuo, B Song, Y Liu, Z Li, X Fu Briefings in Bioinformatics, 2022 | 2 | 2022 |
Xiangxiang ZengDeparment of Computer Science, Hunan UniversityVerified email at hnu.edu.cn
