Yuansheng Liu
Yuansheng Liu
Department of Computer Science, Hunan University
Verified email at - Homepage
Cited by
Cited by
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
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
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
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,, 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
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
High-speed and high-ratio referential genome compression
Y Liu, H Peng, L Wong, J Li
Bioinformatics 33 (21), 3364–3372, 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
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
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
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
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
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
Allowing mutations in maximal matches boosts genome compression performance
Y Liu, L Wong, J Li
Bioinformatics 36 (18), 4675-4681, 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
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
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
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
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
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
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