LNRLMI: Linear neighbour representation for predicting lncRNA‐miRNA interactions

od Wong, Leon, Huang, Yu‐An, You, Zhu‐Hong, Chen, Zhan‐Heng, Cao, Mei‐Yuan
Izdano u J Cell Mol Med (2019)

NEMPD: a network embedding-based method for predicting miRNA-disease associations by preserving behavior and attribute information

od Ji, Bo-Ya, You, Zhu-Hong, Chen, Zhan-Heng, Wong, Leon, Yi, Hai-Cheng
Izdano u BMC Bioinformatics (2020)

An Improved Deep Forest Model for Predicting Self-Interacting Proteins From Protein Sequence Using Wavelet Transformation

od Chen, Zhan-Heng, Li, Li-Ping, He, Zhou, Zhou, Ji-Ren, Li, Yangming, Wong, Leon
Izdano u Front Genet (2019)

A Learning-Based Method for LncRNA-Disease Association Identification Combing Similarity Information and Rotation Forest

od Guo, Zhen-Hao, You, Zhu-Hong, Wang, Yan-Bin, Yi, Hai-Cheng, Chen, Zhan-Heng
Izdano u iScience (2019)

Prediction of protein self-interactions using stacked long short-term memory from protein sequences information

od Wang, Yan-Bin, You, Zhu-Hong, Li, Xiao, Jiang, Tong-Hai, Cheng, Li, Chen, Zhan-Heng
Izdano u BMC Syst Biol (2018)

Global Vectors Representation of Protein Sequences and Its Application for Predicting Self-Interacting Proteins with Multi-Grained Cascade Forest Model

od Chen, Zhan-Heng, You, Zhu-Hong, Zhang, Wen-Bo, Wang, Yan-Bin, Cheng, Li, Alghazzawi, Daniyal
Izdano u Genes (Basel) (2019)

A deep learning-based method for drug-target interaction prediction based on long short-term memory neural network

od Wang, Yan-Bin, You, Zhu-Hong, Yang, Shan, Yi, Hai-Cheng, Chen, Zhan-Heng, Zheng, Kai
Izdano u BMC Med Inform Decis Mak (2020)

Prediction of Self-Interacting Proteins from Protein Sequence Information Based on Random Projection Model and Fast Fourier Transform

od Chen, Zhan-Heng, You, Zhu-Hong, Li, Li-Ping, Wang, Yan-Bin, Wong, Leon, Yi, Hai-Cheng
Izdano u Int J Mol Sci (2019)

Identification of self-interacting proteins by integrating random projection classifier and finite impulse response filter

od Chen, Zhan-Heng, You, Zhu-Hong, Li, Li-Ping, Wang, Yan-Bin, Qiu, Yu, Hu, Peng-Wei
Izdano u BMC Genomics (2019)

MIPDH: A Novel Computational Model for Predicting microRNA–mRNA Interactions by DeepWalk on a Heterogeneous Network

od Wong, Leon, You, Zhu-Hong, Guo, Zhen-Hao, Yi, Hai-Cheng, Chen, Zhan-Heng, Cao, Mei-Yuan
Izdano u ACS Omega (2020)

ACP-DL: A Deep Learning Long Short-Term Memory Model to Predict Anticancer Peptides Using High-Efficiency Feature Representation

od Yi, Hai-Cheng, You, Zhu-Hong, Zhou, Xi, Cheng, Li, Li, Xiao, Jiang, Tong-Hai, Chen, Zhan-Heng
Izdano u Mol Ther Nucleic Acids (2019)

A learning based framework for diverse biomolecule relationship prediction in molecular association network

od Guo, Zhen-Hao, You, Zhu-Hong, Huang, De-Shuang, Yi, Hai-Cheng, Chen, Zhan-Heng, Wang, Yan-Bin
Izdano u Commun Biol (2020)

Prediction of Drug–Target Interactions From Multi-Molecular Network Based on Deep Walk Embedding Model

od Chen, Zhan-Heng, You, Zhu-Hong, Guo, Zhen-Hao, Yi, Hai-Cheng, Luo, Gong-Xu, Wang, Yan-Bin
Izdano u Front Bioeng Biotechnol (2020)

Bioentity2vec: Attribute- and behavior-driven representation for predicting multi-type relationships between bioentities

od Guo, Zhen-Hao, You, Zhu-Hong, Wang, Yan-Bin, Huang, De-Shuang, Yi, Hai-Cheng, Chen, Zhan-Heng
Izdano u Gigascience (2020)

A Novel Method to Predict Drug-Target Interactions Based on Large-Scale Graph Representation Learning

od Zhao, Bo-Wei, You, Zhu-Hong, Hu, Lun, Guo, Zhen-Hao, Wang, Lei, Chen, Zhan-Heng, Wong, Leon
Izdano u Cancers (Basel) (2021)

MeSHHeading2vec: a new method for representing MeSH headings as vectors based on graph embedding algorithm

od Guo, Zhen-Hao, You, Zhu-Hong, Huang, De-Shuang, Yi, Hai-Cheng, Zheng, Kai, Chen, Zhan-Heng, Wang, Yan-Bin
Izdano u Brief Bioinform (2020)