ACP-DL: a deep learning long short-term memory model to predict anticancer peptides using high-efficiency feature representation HC Yi, ZH You, X Zhou, L Cheng, X Li, TH Jiang, ZH Chen Molecular Therapy-Nucleic Acids 17, 1-9, 2019 | 144 | 2019 |
A deep learning-based method for drug-target interaction prediction based on long short-term memory neural network YB Wang, ZH You, S Yang, HC Yi, ZH Chen, K Zheng BMC medical informatics and decision making 20, 1-9, 2020 | 113 | 2020 |
A learning-based method for LncRNA-disease association identification combing similarity information and rotation forest ZH Guo, ZH You, YB Wang, HC Yi, ZH Chen IScience 19, 786-795, 2019 | 70 | 2019 |
Prediction of drug–target interactions from multi-molecular network based on deep walk embedding model ZH Chen, ZH You, ZH Guo, HC Yi, GX Luo, YB Wang Frontiers in Bioengineering and Biotechnology 8, 338, 2020 | 64 | 2020 |
MeSHHeading2vec: a new method for representing MeSH headings as vectors based on graph embedding algorithm ZH Guo, ZH You, DS Huang, HC Yi, K Zheng, ZH Chen, YB Wang Briefings in bioinformatics 22 (2), 2085-2095, 2021 | 42 | 2021 |
An improved deep forest model for predicting self-interacting proteins from protein sequence using wavelet transformation ZH Chen, LP Li, Z He, JR Zhou, Y Li, L Wong Frontiers in Genetics 10, 90, 2019 | 38 | 2019 |
Locating transcription factor binding sites by fully convolutional neural network Q Zhang, S Wang, Z Chen, Y He, Q Liu, DS Huang Briefings in bioinformatics 22 (5), bbaa435, 2021 | 37 | 2021 |
A novel method to predict drug-target interactions based on large-scale graph representation learning BW Zhao, ZH You, L Hu, ZH Guo, L Wang, ZH Chen, L Wong Cancers 13 (9), 2111, 2021 | 35 | 2021 |
A survey of current trends in computational predictions of protein-protein interactions Y Wang, Z You, L Li, Z Chen Frontiers of Computer Science 14, 1-12, 2020 | 30 | 2020 |
Prediction of self-interacting proteins from protein sequence information based on random projection model and fast Fourier transform ZH Chen, ZH You, LP Li, YB Wang, L Wong, HC Yi International journal of molecular sciences 20 (4), 930, 2019 | 30 | 2019 |
Predicting transcription factor binding sites using DNA shape features based on shared hybrid deep learning architecture S Wang, Q Zhang, Z Shen, Y He, ZH Chen, J Li, DS Huang Molecular Therapy-Nucleic Acids 24, 154-163, 2021 | 29 | 2021 |
GNMFLMI: graph regularized nonnegative matrix factorization for predicting LncRNA-MiRNA interactions MN Wang, ZH You, LP Li, L Wong, ZH Chen, CZ Gan Ieee Access 8, 37578-37588, 2020 | 29 | 2020 |
LNRLMI: Linear neighbour representation for predicting lncRNA‐miRNA interactions L Wong, YA Huang, ZH You, ZH Chen, MY Cao Journal of cellular and molecular medicine 24 (1), 79-87, 2020 | 29 | 2020 |
A survey of transformer-based multimodal pre-trained modals X Han, YT Wang, JL Feng, C Deng, ZH Chen, YA Huang, H Su, L Hu, ... Neurocomputing 515, 89-106, 2023 | 27 | 2023 |
An ensemble classifier with random projection for predicting protein–protein interactions using sequence and evolutionary information XY Song, ZH Chen, XY Sun, ZH You, LP Li, Y Zhao Applied Sciences 8 (1), 89, 2018 | 25 | 2018 |
A learning based framework for diverse biomolecule relationship prediction in molecular association network ZH Guo, ZH You, DS Huang, HC Yi, ZH Chen, YB Wang Communications biology 3 (1), 118, 2020 | 24 | 2020 |
Learning from low-rank multimodal representations for predicting disease-drug associations P Hu, Y Huang, J Mei, H Leung, Z Chen, Z Kuang, Z You, L Hu BMC medical informatics and decision making 21, 1-13, 2021 | 18 | 2021 |
Prediction of protein self-interactions using stacked long short-term memory from protein sequences information YB Wang, ZH You, X Li, TH Jiang, L Cheng, ZH Chen BMC Systems Biology 12, 107-115, 2018 | 18 | 2018 |
MIPDH: a novel computational model for predicting microRNA–mRNA interactions by DeepWalk on a heterogeneous network L Wong, ZH You, ZH Guo, HC Yi, ZH Chen, MY Cao ACS omega 5 (28), 17022-17032, 2020 | 17 | 2020 |
Hierarchical transfer learning architecture for low-resource neural machine translation G Luo, Y Yang, Y Yuan, Z Chen, A Ainiwaer IEEE Access 7, 154157-154166, 2019 | 17 | 2019 |