Yang Yang
Yang Yang
Department of Computer Science, Shanghai Jiao Tong University
Потвърден имейл адрес: cs.sjtu.edu.cn
The lncLocator: a subcellular localization predictor for long non-coding RNAs based on a stacked ensemble classifier
Z Cao, X Pan, Y Yang, Y Huang, HB Shen
Bioinformatics 34 (13), 2185-2194, 2018
Roles of small RNAs in soybean defense against Phytophthora sojae infection.
J Wong, L Gao, Y Yang, J Zhai, S Arikit, Y Yu, SD al.
the plant journal 79 (6), 2014
Hum-mPLoc 3.0: prediction enhancement of human protein subcellular localization through modeling the hidden correlations of gene ontology and functional domain features
H Zhou, Y Yang, HB Shen
Bioinformatics 33 (6), 843-853, 2017
Computational prediction of type III secreted proteins from gram-negative bacteria
Y Yang, J Zhao, RL Morgan, W Ma, T Jiang
BMC bioinformatics 11 (Suppl 1), S47, 2010
Recent methodology progress of deep learning for RNA–protein interaction prediction
X Pan, Y Yang, CQ Xia, AH Mirza, HB Shen
Wiley Interdisciplinary Reviews: RNA 10 (6), e1544, 2019
Accelerating materials discovery using machine learning
Y Juan, Y Dai, Y Yang, J Zhang
Journal of Materials Science & Technology 79, 178-190, 2021
CRIP: predicting circRNA–RBP-binding sites using a codon-based encoding and hybrid deep neural networks
K Zhang, X Pan, Y Yang, HB Shen
Rna 25 (12), 1604-1615, 2019
Computational prediction of novel non-coding RNAs in Arabidopsis thaliana
D Song, Y Yang, B Yu, B Zheng, Z Deng, BL Lu, X Chen, T Jiang
BMC Bioinformatics 10, 2009
MiRGOFS: a GO-based functional similarity measurement for miRNAs, with applications to the prediction of miRNA subcellular localization and miRNA–disease association
Y Yang, X Fu, W Qu, Y Xiao, HB Shen
Bioinformatics 34 (20), 3547-3556, 2018
Protein subcellular multi-localization prediction using a min-max modular support vector machine
Y Yang, BL Lu
International Journal of Neural Systems 20 (1), 13-28, 2010
Predicting gene regulatory interactions based on spatial gene expression data and deep learning
Y Yang, Q Fang, HB Shen
PLoS computational biology 15 (9), e1007324, 2019
MemBrain: an easy-to-use online webserver for transmembrane protein structure prediction
X Yin, J Yang, F Xiao, Y Yang, HB Shen
Nano-Micro Letters 10, 1-8, 2018
ImPLoc: a multi-instance deep learning model for the prediction of protein subcellular localization based on immunohistochemistry images
W Long, Y Yang, HB Shen
Bioinformatics 36 (7), 2244-2250, 2020
CircSLNN: identifying RBP-binding sites on circRNAs via sequence labeling neural networks
Y Ju, L Yuan, Y Yang, H Zhao
Frontiers in genetics, 1184, 2019
Missing value imputation for microRNA expression data by using a GO-based similarity measure
Y Yang, Z Xu, D Song
BMC bioinformatics 17 (1), 109-116, 2016
RBPsuite: RNA-protein binding sites prediction suite based on deep learning
X Pan, Y Fang, X Li, Y Yang, HB Shen
BMC genomics 21, 1-8, 2020
A clustering-based approach for efficient identification of microRNA combinatorial biomarkers
Y Yang, N Huang, L Hao, W Kong
BMC genomics 18 (2), 1-14, 2017
Integrating Gene Expression and Protein Interaction Data for Signaling Pathway Prediction of Alzheimer’s Disease
W Kong, J Zhang, X Mou, Yang, Yang
Artificial intelligence-based multi-objective optimization protocol for protein structure refinement
D Wang, L Geng, YJ Zhao, Y Yang, Y Huang, Y Zhang, HB Shen
Bioinformatics 36 (2), 437-448, 2020
Prediction of MicroRNA Subcellular Localization by Using a Sequence-to-Sequence Model
Y Xiao, J Cai, Y Yang, H Zhao, H Shen
2018 IEEE International Conference on Data Mining (ICDM), 1332-1337, 2018
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