Combining LSTM Network Model and Wavelet Transform for Predicting Self-interacting Proteins. - Zhan-Heng Chen; Zhu-Hong You; Li-Ping Li 003; Zhen-Hao Guo; Pengwei Hu 001; Han-Jing Jiang (ICIC (1), 2019)

Combining High Speed ELM with a CNN Feature Encoding to Predict LncRNA-Disease Associations. - Zhen-Hao Guo; Zhu-Hong You; Li-Ping Li 003; Yan-Bin Wang; Zhan-Heng Chen (ICIC (2), 2019)

Combining Evolutionary Information and Sparse Bayesian Probability Model to Accurately Predict Self-interacting Proteins. - Yan-Bin Wang; Zhu-Hong You; Hai-Cheng Yi; Zhan-Heng Chen; Zhen-Hao Guo; Kai Zheng 020 (ICIC (2), 2019)

In Silico Identification of Anticancer Peptides with Stacking Heterogeneous Ensemble Learning Model and Sequence Information. - Hai-Cheng Yi; Zhu-Hong You; Yan-Bin Wang; Zhan-Heng Chen; Zhen-Hao Guo; Hui-Juan Zhu (ICIC (2), 2019)

Predicting Drug-Target Interactions by Node2vec Node Embedding in Molecular Associations Network. - Zhan-Heng Chen; Zhu-Hong You; Zhen-Hao Guo; Hai-Cheng Yi; Gong-Xu Luo; Yan-Bin Wang (ICIC (2), 2020)

Inferring Drug-miRNA Associations by Integrating Drug SMILES and MiRNA Sequence Information. - Zhen-Hao Guo; Zhu-Hong You; Li-Ping Li 003; Zhan-Heng Chen; Hai-Cheng Yi; Yan-Bin Wang (ICIC (2), 2020)

A Highly Efficient Biomolecular Network Representation Model for Predicting Drug-Disease Associations. - Han-Jing Jiang; Zhu-Hong You; Lun Hu; Zhen-Hao Guo; Bo-Ya Ji; Leon Wong (ICIC (3), 2020)

A Unified Deep Biological Sequence Representation Learning with Pretrained Encoder-Decoder Model. - Hai-Cheng Yi; Zhu-Hong You; Xiao-Rui Su 001; De-Shuang Huang; Zhen-Hao Guo (ICIC (2), 2020)

A Novel Computational Method for Predicting LncRNA-Disease Associations from Heterogeneous Information Network with SDNE Embedding Model. - Ping Zhang 027; Bo-Wei Zhao; Leon Wong; Zhu-Hong You; Zhen-Hao Guo; Hai-Cheng Yi (ICIC (2), 2020)

RPI-SE: a stacking ensemble learning framework for ncRNA-protein interactions prediction using sequence information. - Hai-Cheng Yi; Zhu-Hong You; Mei-Neng Wang; Zhen-Hao Guo; Yan-Bin Wang; Ji-Ren Zhou (BMC Bioinform., 2020)

iCDA-CGR: Identification of circRNA-disease associations based on Chaos Game Representation. - Kai Zheng 020; Zhu-Hong You; Jian-Qiang Li 001; Lei Wang 121; Zhen-Hao Guo; Yu-An Huang (PLoS Comput. Biol., 2020)

Protein-Protein Interaction Prediction by Integrating Sequence Information and Heterogeneous Network Representation. - Xiao-Rui Su 001; Zhu-Hong You; Zhan-Heng Chen; Hai-Cheng Yi; Zhen-Hao Guo (ICIC (3), 2021)

MeSHHeading2vec: a new method for representing MeSH headings as vectors based on graph embedding algorithm. - Zhen-Hao Guo; Zhu-Hong You; De-Shuang Huang; Hai-Cheng Yi; Kai Zheng 020; Zhan-Heng Chen; Yan-Bin Wang (Briefings Bioinform., 2021)

A learning-based method to predict LncRNA-disease associations by combining CNN and ELM. - Zhen-Hao Guo; Zhan-Heng Chen; Zhu-Hong You; Yan-Bin Wang; Hai-Cheng Yi; Mei-Neng Wang (BMC Bioinform., 2021)

Learning Representation of Molecules in Association Network for Predicting Intermolecular Associations. - Hai-Cheng Yi; Zhu-Hong You; Zhen-Hao Guo; De-Shuang Huang; Keith C. C. Chan (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Base-resolution prediction of transcription factor binding signals by a deep learning framework. - Qinhu Zhang; Ying He; Siguo Wang; Zhanheng Chen; Zhen-Hao Guo; Zhen Cui; Qi Liu 019; De-Shuang Huang (PLoS Comput. Biol., 2022)

DLoopCaller: A deep learning approach for predicting genome-wide chromatin loops by integrating accessible chromatin landscapes. - Siguo Wang; Qinhu Zhang; Ying He; Zhen Cui; Zhen-Hao Guo; Kyungsook Han; De-Shuang Huang (PLoS Comput. Biol., 2022)

In silico prediction methods of self-interacting proteins: an empirical and academic survey. - Zhanheng Chen; Zhuhong You; Qinhu Zhang; Zhen-Hao Guo; Siguo Wang; Yanbin Wang (Frontiers Comput. Sci., 2023)

Predicting the Sequence Specificities of DNA-Binding Proteins by DNA Fine-Tuned Language Model With Decaying Learning Rates. - Ying He; Qinhu Zhang; Siguo Wang; Zhanheng Chen; Zhen Cui; Zhen-Hao Guo; De-Shuang Huang (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

scInterpreter: a knowledge-regularized generative model for interpretably integrating scRNA-seq data. - Zhen-Hao Guo; Yan Wu; Siguo Wang; Qinhu Zhang; Jin-Ming Shi; Yan-Bin Wang; Zhan-Heng Chen (BMC Bioinform., 2023)

scCorrector: a robust method for integrating multi-study single-cell data. - Zhen-Hao Guo; Yan-Bin Wang; Siguo Wang; Qinhu Zhang; De-Shuang Huang (Briefings Bioinform., 2024)

NPENN: A Noise Perturbation Ensemble Neural Network for Microbiome Disease Phenotype Prediction. - Zhen Cui; Yan Wu 011; Qinhu Zhang; Siguo Wang; Zhen-Hao Guo (IEEE J. Biomed. Health Informatics, 2025)