Duolin Wang
Duolin Wang
research scientist of bioinformatics, University of Missouri
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Zitiert von
Zitiert von
MusiteDeep: a deep-learning framework for general and kinase-specific phosphorylation site prediction
D Wang, S Zeng, C Xu, W Qiu, Y Liang, T Joshi, D Xu
Bioinformatics 33 (24), 3909-3916, 2017
MusiteDeep: a deep-learning based webserver for protein post-translational modification site prediction and visualization
D Wang, D Liu, J Yuchi, F He, Y Jiang, S Cai, J Li, D Xu
Nucleic Acids Research 48 (W1), W140-W146, 2020
Capsule network for protein post-translational modification site prediction
D Wang, Y Liang, D Xu
Bioinformatics 35 (14), 2386-2394, 2019
DM3Loc: multi-label mRNA subcellular localization prediction and analysis based on multi-head self-attention mechanism
D Wang, Z Zhang, Y Jiang, Z Mao, D Wang, H Lin, D Xu
Nucleic acids research 49 (8), e46-e46, 2021
Phenotype prediction and genome-wide association study using deep convolutional neural network of soybean
Y Liu, D Wang, F He, J Wang, T Joshi, D Xu
Frontiers in genetics 10, 486384, 2019
3′ UTR shortening identifies high-risk cancers with targeted dysregulation of the ceRNA network
L Li, D Wang, M Xue, X Mi, Y Liang, P Wang
Scientific reports 4 (1), 5406, 2014
RNALocate v2. 0: an updated resource for RNA subcellular localization with increased coverage and annotation
T Cui, Y Dou, P Tan, Z Ni, T Liu, DL Wang, Y Huang, K Cai, X Zhao, D Xu, ...
Nucleic acids research 50 (D1), D333-D339, 2022
MULocDeep: a deep-learning framework for protein subcellular and suborganellar localization prediction with residue-level interpretation
Y Jiang, D Wang, Y Yao, H Eubel, P Künzler, IM Møller, D Xu
Computational and structural biotechnology journal 19, 4825-4839, 2021
Single-cell biological network inference using a heterogeneous graph transformer
A Ma, X Wang, J Li, C Wang, T Xiao, Y Liu, H Cheng, J Wang, Y Li, ...
Nature Communications 14 (1), 964, 2023
CircRNAFisher: a systematic computational approach for de novo circular RNA identification
G Jia, D Wang, M Xue, Y Liu, Y Pei, Y Yang, J Xu, Y Liang, P Wang
Acta Pharmacologica Sinica 40 (1), 55-63, 2019
Application of deep learning in genomic selection
Y Liu, D Wang
2017 ieee international conference on bioinformatics and biomedicine (bibm …, 2017
Deep learning detection of inaccurate smart electricity meters: A case study
M Liu, D Liu, G Sun, Y Zhao, D Wang, F Liu, X Fang, Q He, D Xu
IEEE Industrial Electronics Magazine 14 (4), 79-90, 2020
DeepDom: Predicting protein domain boundary from sequence alone using stacked bidirectional LSTM
Y Jiang, D Wang, D Xu
BIOCOMPUTING 2019: Proceedings of the Pacific Symposium, 66-75, 2018
Computational methods for protein localization prediction
Y Jiang, D Wang, W Wang, D Xu
Computational and Structural Biotechnology Journal 19, 5834-5844, 2021
G2PDeep: a web-based deep-learning framework for quantitative phenotype prediction and discovery of genomic markers
S Zeng, Z Mao, Y Ren, D Wang, D Xu, T Joshi
Nucleic Acids Research 49 (W1), W228-W236, 2021
BFDCA: A comprehensive tool of using Bayes factor for differential co-expression analysis
D Wang, J Wang, Y Jiang, Y Liang, D Xu
Journal of molecular biology 429 (3), 446-453, 2017
MU-PseUDeep: a deep learning method for prediction of pseudouridine sites
SM Khan, F He, D Wang, Y Chen, D Xu
Computational and Structural Biotechnology Journal 18, 1877-1883, 2020
A dynamic programing approach to integrate gene expression data and network information for pathway model generation
Y Jiang, Y Liang, D Wang, D Xu, T Joshi
Bioinformatics 36 (1), 169-176, 2020
RDF sketch maps-knowledge complexity reduction for precision medicine analytics
N Thanintorn, J Wang, I Ersoy, Z Al-Taie, Y Jiang, D Wang, M Verma, ...
Biocomputing 2016: Proceedings of the Pacific Symposium, 417-428, 2016
Diffusion models in bioinformatics: A new wave of deep learning revolution in action
Z Guo, J Liu, Y Wang, M Chen, D Wang, D Xu, J Cheng
arXiv preprint arXiv:2302.10907, 2023
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