受强制性开放获取政策约束的文章 - Lei Deng了解详情
无法在其他位置公开访问的文章：48 篇
Integrating multiple heterogeneous networks for novel lncRNA-disease association inference
J Zhang, Z Zhang, Z Chen, L Deng
IEEE/ACM transactions on computational biology and bioinformatics 16 (2 …, 2017
强制性开放获取政策： 国家自然科学基金委员会
KATZLGO: large-scale prediction of LncRNA functions by using the KATZ measure based on multiple networks
Z Zhang, J Zhang, C Fan, Y Tang, L Deng
IEEE/ACM transactions on computational biology and bioinformatics 16 (2 …, 2017
强制性开放获取政策： 国家自然科学基金委员会
HNet-DNN: inferring new drug–disease associations with deep neural network based on heterogeneous network features
H Liu, W Zhang, Y Song, L Deng, S Zhou
Journal of Chemical Information and Modeling 60 (4), 2367-2376, 2020
强制性开放获取政策： 国家自然科学基金委员会
LDAH2V: Exploring meta-paths across multiple networks for lncRNA-disease association prediction
L Deng, W Li, J Zhang
IEEE/ACM Transactions on Computational Biology and Bioinformatics 18 (4 …, 2019
强制性开放获取政策： 国家自然科学基金委员会
An integrated framework for functional annotation of protein structural domains
L Deng, Z Chen
IEEE/ACM transactions on computational biology and bioinformatics 12 (4 …, 2015
强制性开放获取政策： 国家自然科学基金委员会
Prediction of disease comorbidity using HeteSim scores based on multiple heterogeneous networks
X Chen, W Shi, L Deng
Current Gene Therapy 19 (4), 232-241, 2019
强制性开放获取政策： 国家自然科学基金委员会
Prediction of protein S-sulfenylation sites using a deep belief network
L Nie, L Deng, C Fan, W Zhan, Y Tang
Current Bioinformatics 13 (5), 461-467, 2018
强制性开放获取政策： 国家自然科学基金委员会
Graph neural network with self-supervised learning for noncoding rna–drug resistance association prediction
J Zheng, Y Qian, J He, Z Kang, L Deng
Journal of Chemical Information and Modeling 62 (15), 3676-3684, 2022
强制性开放获取政策： 国家自然科学基金委员会
CMIVGSD: circRNA-miRNA interaction prediction based on Variational graph auto-encoder and singular value decomposition
Y Qian, J Zheng, Z Zhang, Y Jiang, J Zhang, L Deng
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2021
强制性开放获取政策： 国家自然科学基金委员会
A deep neural network approach using distributed representations of RNA sequence and structure for identifying binding site of RNA-binding proteins
L Deng, Y Liu, Y Shi, H Liu
2019 Ieee International Conference on Bioinformatics and Biomedicine (Bibm …, 2019
强制性开放获取政策： 国家自然科学基金委员会
PredCSO: an ensemble method for the prediction of S-sulfenylation sites in proteins
L Deng, X Xu, H Liu
Molecular Omics 14 (4), 257-265, 2018
强制性开放获取政策： 国家自然科学基金委员会
A review of recent developments and progress in computational drug repositioning
W Shi, X Chen, L Deng
Current Pharmaceutical Design 26 (26), 3059-3068, 2020
强制性开放获取政策： 国家自然科学基金委员会
Prediction of circRNA-miRNA association using singular value decomposition and graph neural networks
Y Qian, J Zheng, Y Jiang, S Li, L Deng
IEEE/ACM Transactions on Computational Biology and Bioinformatics 20 (6 …, 2022
强制性开放获取政策： 国家自然科学基金委员会
D2vcb: a hybrid deep neural network for the prediction of in-vivo protein-dna binding from combined dna sequence
L Deng, H Wu, H Liu
2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019
强制性开放获取政策： 国家自然科学基金委员会
Dual-channel heterogeneous graph neural network for predicting microRNA-mediated drug sensitivity
L Deng, Z Fan, X Xiao, H Liu, J Zhang
Journal of Chemical Information and Modeling 62 (23), 5929-5937, 2022
强制性开放获取政策： 国家自然科学基金委员会
Gcnpca: miRNA-disease associations prediction algorithm based on graph convolutional neural networks
J Liu, Z Kuang, L Deng
IEEE/ACM transactions on computational biology and bioinformatics 20 (2 …, 2022
强制性开放获取政策： 国家自然科学基金委员会
iPiDA-GBNN: Identification of Piwi-interacting RNA-disease associations based on gradient boosting neural network
Y Qian, Q He, L Deng
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2021
强制性开放获取政策： 国家自然科学基金委员会
Probing the functions of long non-coding RNAs by exploiting the topology of global association and interaction network
L Deng, H Wu, C Liu, W Zhan, J Zhang
Computational Biology and Chemistry 74, 360-367, 2018
强制性开放获取政策： 国家自然科学基金委员会
MSCNE: Predict miRNA-disease associations using neural network based on multi-source biological information
G Han, Z Kuang, L Deng
IEEE/ACM Transactions on Computational Biology and Bioinformatics 19 (5 …, 2021
强制性开放获取政策： 国家自然科学基金委员会
Large-scale predicting protein functions through heterogeneous feature fusion
R Zheng, Z Huang, L Deng
Briefings in Bioinformatics 24 (4), bbad243, 2023
强制性开放获取政策： 国家自然科学基金委员会
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