Stebėti
Yu Li (李煜)
Yu Li (李煜)
Assistant Professor, Computer Science & Engineering, Chinese University of Hong Kong
Patvirtintas el. paštas cse.cuhk.edu.hk - Pagrindinis puslapis
Pavadinimas
Cituota
Cituota
Metai
Deep learning in bioinformatics: Introduction, application, and perspective in the big data era
Y Li, C Huang, L Ding, Z Li, Y Pan, X Gao
Methods 166, 4-21, 2019
4132019
DEEPre: sequence-based enzyme EC number prediction by deep learning
Y Li, S Wang, R Umarov, B Xie, M Fan, L Li, X Gao
Bioinformatics 34 (5), 760-769, 2018
3112018
Progressive-hint prompting improves reasoning in large language models
C Zheng, Z Liu, E Xie, Z Li, Y Li
arXiv preprint arXiv:2304.09797, 2023
1562023
RNA secondary structure prediction by learning unrolled algorithms
X Chen, Y Li, R Umarov, X Gao, L Song
arXiv preprint arXiv:2002.05810, 2020
1362020
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
1242022
DeepSimulator: a deep simulator for Nanopore sequencing
Y Li, R Han, C Bi, M Li, S Wang, X Gao
Bioinformatics 34 (17), 2899-2908, 2018
1172018
mlDEEPre: multi-functional enzyme function prediction with hierarchical multi-label deep learning
Z Zou, S Tian, X Gao, Y Li
Frontiers in genetics 9, 714, 2019
1152019
A self-adaptive deep learning algorithm for accelerating multi-component flash calculation
T Zhang, Y Li, Y Li, S Sun, X Gao
Computer Methods in Applied Mechanics and Engineering 369, 113207, 2020
1072020
Promoter analysis and prediction in the human genome using sequence-based deep learning models
R Umarov, H Kuwahara, Y Li, X Gao, V Solovyev
Bioinformatics 35 (16), 2730-2737, 2019
1072019
Modern deep learning in bioinformatics
H Li, S Tian, Y Li, Q Fang, R Tan, Y Pan, C Huang, Y Xu, X Gao
Journal of molecular cell biology 12 (11), 823-827, 2020
1062020
A deep learning framework to predict binding preference of RNA constituents on protein surface
JH Lam, Y Li, L Zhu, R Umarov, H Jiang, A Héliou, FK Sheong, T Liu, ...
Nature communications 10 (1), 4941, 2019
1042019
HMD-ARG: hierarchical multi-task deep learning for annotating antibiotic resistance genes
Y Li, Z Xu, W Han, H Cao, R Umarov, A Yan, M Fan, H Chen, CM Duarte, ...
Microbiome 9, 1-12, 2021
792021
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
77*2024
H-NS uses an autoinhibitory conformational switch for environment-controlled gene silencing
UF Shahul Hameed, C Liao, AK Radhakrishnan, F Huser, SS Aljedani, ...
Nucleic acids research 47 (5), 2666-2680, 2019
672019
Self-supervised contrastive learning for integrative single cell RNA-seq data analysis
W Han, Y Cheng, J Chen, H Zhong, Z Hu, S Chen, L Zong, L Hong, ...
Briefings in Bioinformatics 23 (5), bbac377, 2022
642022
Accelerating flash calculation through deep learning methods
Y Li, T Zhang, S Sun, X Gao
Journal of Computational Physics 394, 153-165, 2019
642019
Sequence2vec: a novel embedding approach for modeling transcription factor binding affinity landscape
H Dai, R Umarov, H Kuwahara, Y Li, L Song, X Gao
Bioinformatics 33 (22), 3575-3583, 2017
642017
Protein–RNA interaction prediction with deep learning: structure matters
J Wei, S Chen, L Zong, X Gao, Y Li
Briefings in bioinformatics 23 (1), bbab540, 2022
622022
DeepSimulator1. 5: a more powerful, quicker and lighter simulator for Nanopore sequencing
Y Li, S Wang, C Bi, Z Qiu, M Li, X Gao
Bioinformatics 36 (8), 2578-2580, 2020
602020
On the decision boundary of deep neural networks
Y Li, L Ding, X Gao
arXiv preprint arXiv:1808.05385, 2018
582018
Sistema negali atlikti operacijos. Bandykite vėliau dar kartą.
Straipsniai 1–20