Yanbin Wang

发表

Biomarker2vec: Attribute- and Behavior-driven Representation for Multi-type Relationship Prediction between Various Biomarkers

Zhuhong You, Hai-Cheng Yi, Zhen-Hao Guo, 2019, bioRxiv.

In silico prediction methods of self-interacting proteins: an empirical and academic survey

Qinhu Zhang, Zhen-Hao Guo, Zhanheng Chen, 2022, Frontiers of Computer Science.

Improving Prediction of Self-interacting Proteins Using Stacked Sparse Auto-Encoder with PSSM profiles

Zhu-Hong You, De-Shuang Huang, Li-Ping Li, 2018, International journal of biological sciences.

Learning distributed representations of RNA and protein sequences and its application for predicting lncRNA-protein interactions

Hai-Cheng Yi, Yan-Bin Wang, Zhu-Hong You, 2019, Computational and structural biotechnology journal.

RPI-SE: a stacking ensemble learning framework for ncRNA-protein interactions prediction using sequence information

Hai-Cheng Yi, Zhu-Hong You, Mei-Neng Wang, 2020, BMC Bioinformatics.

PCVMZM: Using the Probabilistic Classification Vector Machines Model Combined with a Zernike Moments Descriptor to Predict Protein–Protein Interactions from Protein Sequences

Xing Chen, Tonghai Jiang, Yanbin Wang, 2017, International journal of molecular sciences.

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

Hai-Cheng Yi, Zhen-Hao Guo, Yan-Bin Wang, 2019, iScience.

A survey of current trends in computational predictions of protein-protein interactions

Zhuhong You, Liping Li, Zhanheng Chen, 2020, Frontiers of Computer Science.

Predicting protein-protein interactions from protein sequences by a stacked sparse autoencoder deep neural network.

Xing Chen, Xiao Li, Lei Wang, 2017, Molecular bioSystems.

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

Hai-Cheng Yi, Zhen-Hao Guo, Yan-Bin Wang, 2020, Communications Biology.

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

Zhuhong You, Hai-Cheng Yi, Zhen-Hao Guo, 2020, Communications Biology.

Inferring Drug-miRNA Associations by Integrating Drug SMILES and MiRNA Sequence Information

Hai-Cheng Yi, Zhen-Hao Guo, Yan-Bin Wang, 2020, ICIC.

A learning-based method to predict LncRNA-disease associations by combining CNN and ELM

Zhuhong You, Hai-Cheng Yi, Zhen-Hao Guo, 2021, BMC Bioinformatics.

Combining High Speed ELM with a CNN Feature Encoding to Predict LncRNA-Disease Associations

Zhen-Hao Guo, Yan-Bin Wang, Zhu-Hong You, 2019, ICIC.

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

Hai-Cheng Yi, Zhen-Hao Guo, Yan-Bin Wang, 2020, GigaScience.

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

Hai-Cheng Yi, Zhen-Hao Guo, Yan-Bin Wang, 2020, Briefings Bioinform..

Robust and accurate prediction of protein–protein interactions by exploiting evolutionary information

Zheng Wang, Zhuhong You, Liping Li, 2021, Scientific Reports.

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

Yan-Bin Wang, Zhu-Hong You, Zhan-Heng Chen, 2019, Genes.

Predicting Protein Interactions Using a Deep Learning Method-Stacked Sparse Autoencoder Combined with a Probabilistic Classification Vector Machine

Tonghai Jiang, Zhu-Hong You, Li Cheng, 2018, Complex..

A Gated Recurrent Unit Model for Drug Repositioning by Combining Comprehensive Similarity Measures and Gaussian Interaction Profile Kernel

Hai-Cheng Yi, Yan-Bin Wang, Zhu-Hong You, 2019, ICIC.

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

Hai-Cheng Yi, Zhen-Hao Guo, Yan-Bin Wang, 2020, Frontiers in Bioengineering and Biotechnology.

In Silico Identification of Anticancer Peptides with Stacking Heterogeneous Ensemble Learning Model and Sequence Information

Hai-Cheng Yi, Zhen-Hao Guo, Yan-Bin Wang, 2019, ICIC.

A High Efficient Biological Language Model for Predicting Protein–Protein Interactions

Xiao Li, Xi Zhou, Zhu-Hong You, 2019, Cells.

RPI-SE: a stacking ensemble learning framework for ncRNA-protein interactions prediction using sequence information

Zhuhong You, Hai-Cheng Yi, Zhen-Hao Guo, 2020, BMC Bioinformatics.

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

Hai-Cheng Yi, Yan-Bin Wang, Zhu-Hong You, 2020, BMC Medical Informatics and Decision Making.

A survey of current trends in computational predictions of protein-protein interactions

Yanbin Wang, Liping Li, Zhuhong You, 2020, Frontiers of Computer Science.

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

Hai-Cheng Yi, Zhu-Hong You, Zhan-Heng Chen, 2019, International journal of molecular sciences.

Predicting Drug-Target Interactions by Node2vec Node Embedding in Molecular Associations Network

Hai-Cheng Yi, Zhen-Hao Guo, Yan-Bin Wang, 2020, ICIC.

Predicting circRNA-disease associations using deep generative adversarial network based on multi-source fusion information

Yan-Bin Wang, Lei Wang, Zhu-Hong You, 2019, 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Prediction of Drug-Disease Associations Based on Long Short-Term Memory Network and Gaussian Interaction Profile Kernel

Yanbin Wang, Han-Jing Jiang, Yabing Huang, 2020, BIC-TA.

Detection of Interactions between Proteins by Using Legendre Moments Descriptor to Extract Discriminatory Information Embedded in PSSM

Hai-Cheng Yi, Yan-Bin Wang, Yu-An Huang, 2017, Molecules.

PCLPred: A Bioinformatics Method for Predicting Protein–Protein Interactions by Combining Relevance Vector Machine Model with Low-Rank Matrix Approximation

Yang Li, Yan-Bin Wang, Ji-Yong An, 2018, International journal of molecular sciences.

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

Pengwei Hu, Zhuhong You, Liping Li, 2019, BMC Genomics.

Combining Evolutionary Information and Sparse Bayesian Probability Model to Accurately Predict Self-interacting Proteins

Hai-Cheng Yi, Zhen-Hao Guo, Yan-Bin Wang, 2019, ICIC.

Robust and accurate prediction of self-interacting proteins from protein sequence information by exploiting weighted sparse representation based classifier

Yu-An Huang, Zhuhong You, Liping Li, 2022, BMC Bioinformatics.

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

Zhu-Hong You, Xiao Li, Zhan-Heng Chen, 2018, BMC Systems Biology.

RP-FIRF: Prediction of Self-interacting Proteins Using Random Projection Classifier Combining with Finite Impulse Response Filter

Zhu-Hong You, Xiao Li, Zhan-Heng Chen, 2018, ICIC.

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

Hai-Cheng Yi, Zhen-Hao Guo, Yan-Bin Wang, 2019, bioRxiv.

MISSIM: Improved miRNA-Disease Association Prediction Model Based on Chaos Game Representation and Broad Learning System

Yan-Bin Wang, Zhu-Hong You, Lei Wang, 2019, ICIC.

scInterpreter: a knowledge-regularized generative model for interpretably integrating scRNA-seq data

Zhen-Hao Guo, Yanbin Wang, Siguo Wang, 2023, BMC Bioinform..