Seuraa
Yixuan Wang
Yixuan Wang
Ph.D. Candidate in CSE, Chinese University of Hong Kong
Vahvistettu sähköpostiosoite verkkotunnuksessa cse.cuhk.edu.hk
Nimike
Viittaukset
Viittaukset
Vuosi
Interpretable RNA foundation model from unannotated data for highly accurate RNA structure and function predictions
J Chen, Z Hu, S Sun, Q Tan, Y Wang, Q Yu, L Zong, L Hong, J Xiao, ...
arXiv preprint arXiv:2204.00300, 2022
96*2022
E2Efold-3D: end-to-end deep learning method for accurate de novo RNA 3D structure prediction
T Shen, Z Hu, Z Peng, J Chen, P Xiong, L Hong, L Zheng, Y Wang, I King, ...
arXiv preprint arXiv:2207.01586, 2022
572022
Deep autoencoder for interpretable tissue-adaptive deconvolution and cell-type-specific gene analysis
Y Chen, Y Wang, Y Chen, Y Cheng, Y Wei, Y Li, J Wang, Y Wei, TF Chan, ...
Nature Communications 13 (1), 6735, 2022
442022
conST: an interpretable multi-modal contrastive learning framework for spatial transcriptomics
Y Zong, T Yu, X Wang, Y Wang, Z Hu, Y Li
BioRxiv, 2022.01. 14.476408, 2022
402022
CLMB: Deep contrastive learning for robust metagenomic binning
P Zhang, Z Jiang, Y Wang, Y Li
International Conference on Research in Computational Molecular Biology, 326-348, 2022
142022
AcrNET: predicting anti-CRISPR with deep learning
Y Li, Y Wei, S Xu, Q Tan, L Zong, J Wang, Y Wang, J Chen, L Hong, Y Li
Bioinformatics 39 (5), btad259, 2023
122023
Con-AAE: contrastive cycle adversarial autoencoders for single-cell multi-omics alignment and integration
X Wang, Z Hu, T Yu, Y Wang, R Wang, Y Wei, J Shu, J Ma, Y Li
Bioinformatics 39 (4), btad162, 2023
102023
A nonautonomous-differential-inclusion neurodynamic approach for nonsmooth distributed optimization on multi-agent systems
X Wen, Y Wang, S Qin
Neural Computing and Applications 33 (20), 13909-13920, 2021
62021
Progress and opportunities of foundation models in bioinformatics
Q Li, Z Hu, Y Wang, L Li, Y Fan, I King, G Jia, S Wang, L Song, Y Li
Briefings in Bioinformatics 25 (6), bbae548, 2024
12024
Accurate RNA 3D structure prediction using a language model-based deep learning approach
T Shen, Z Hu, S Sun, D Liu, F Wong, J Wang, J Chen, Y Wang, L Hong, ...
Nature Methods, 1-12, 2024
2024
ifDEEPre: large protein language-based deep learning enables interpretable and fast predictions of enzyme commission numbers
Q Tan, J Xiao, J Chen, Y Wang, Z Zhang, T Zhao, Y Li
Briefings in Bioinformatics 25 (4), bbae225, 2024
2024
scNovel: a scalable deep learning-based network for novel rare cell discovery in single-cell transcriptomics
C Zheng, Y Wang, Y Cheng, X Wang, H Wei, I King, Y Li
Briefings in Bioinformatics 25 (3), bbae112, 2024
2024
scMinerva: an Unsupervised Graph Learning Framework with Label-efficient Fine-tuning for Single-cell Multi-omics Integrated Analysis
T Yu, Y Zong, Y Wang, X Wang, Y Li
bioRxiv, 2022.05. 28.493838, 2022
2022
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Artikkelit 1–13