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Zhen-Hao Guo
ORCID
Publication Activity (10 Years)
Years Active: 2019-2024
Publications (10 Years): 21
Top Topics
Probability Model
Binding Sites
Interacting Proteins
Ensemble Learning
Top Venues
ICIC (2)
BMC Bioinform.
PLoS Comput. Biol.
ICIC (3)
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Publications
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Zhen-Hao Guo
,
Yan-Bin Wang
,
Siguo Wang
,
Qinhu Zhang
,
De-Shuang Huang
scCorrector: a robust method for integrating multi-study single-cell data.
Briefings Bioinform.
25 (2) (2024)
Zhanheng Chen
,
Zhuhong You
,
Qinhu Zhang
,
Zhen-Hao Guo
,
Siguo Wang
,
Yanbin Wang
In silico prediction methods of self-interacting proteins: an empirical and academic survey.
Frontiers Comput. Sci.
17 (3) (2023)
Ying He
,
Qinhu Zhang
,
Siguo Wang
,
Zhanheng Chen
,
Zhen Cui
,
Zhen-Hao Guo
,
De-Shuang Huang
Predicting the Sequence Specificities of DNA-Binding Proteins by DNA Fine-Tuned Language Model With Decaying Learning Rates.
IEEE ACM Trans. Comput. Biol. Bioinform.
20 (1) (2023)
Zhen-Hao Guo
,
Yan Wu
,
Siguo Wang
,
Qinhu Zhang
,
Jin-Ming Shi
,
Yan-Bin Wang
,
Zhan-Heng Chen
scInterpreter: a knowledge-regularized generative model for interpretably integrating scRNA-seq data.
BMC Bioinform.
24 (1) (2023)
Siguo Wang
,
Qinhu Zhang
,
Ying He
,
Zhen Cui
,
Zhen-Hao Guo
,
Kyungsook Han
,
De-Shuang Huang
DLoopCaller: A deep learning approach for predicting genome-wide chromatin loops by integrating accessible chromatin landscapes.
PLoS Comput. Biol.
18 (10) (2022)
Qinhu Zhang
,
Ying He
,
Siguo Wang
,
Zhanheng Chen
,
Zhen-Hao Guo
,
Zhen Cui
,
Qi Liu
,
De-Shuang Huang
Base-resolution prediction of transcription factor binding signals by a deep learning framework.
PLoS Comput. Biol.
18 (3) (2022)
Xiao-Rui Su
,
Zhu-Hong You
,
Zhan-Heng Chen
,
Hai-Cheng Yi
,
Zhen-Hao Guo
Protein-Protein Interaction Prediction by Integrating Sequence Information and Heterogeneous Network Representation.
ICIC (3)
(2021)
Zhen-Hao Guo
,
Zhu-Hong You
,
De-Shuang Huang
,
Hai-Cheng Yi
,
Kai Zheng
,
Zhan-Heng Chen
,
Yan-Bin Wang
MeSHHeading2vec: a new method for representing MeSH headings as vectors based on graph embedding algorithm.
Briefings Bioinform.
22 (2) (2021)
Hai-Cheng Yi
,
Zhu-Hong You
,
Zhen-Hao Guo
,
De-Shuang Huang
,
Keith C. C. Chan
Learning Representation of Molecules in Association Network for Predicting Intermolecular Associations.
IEEE ACM Trans. Comput. Biol. Bioinform.
18 (6) (2021)
Zhen-Hao Guo
,
Zhan-Heng Chen
,
Zhu-Hong You
,
Yan-Bin Wang
,
Hai-Cheng Yi
,
Mei-Neng Wang
A learning-based method to predict LncRNA-disease associations by combining CNN and ELM.
BMC Bioinform.
(5) (2021)
Han-Jing Jiang
,
Zhu-Hong You
,
Lun Hu
,
Zhen-Hao Guo
,
Bo-Ya Ji
,
Leon Wong
A Highly Efficient Biomolecular Network Representation Model for Predicting Drug-Disease Associations.
ICIC (3)
(2020)
Zhen-Hao Guo
,
Zhu-Hong You
,
Li-Ping Li
,
Zhan-Heng Chen
,
Hai-Cheng Yi
,
Yan-Bin Wang
Inferring Drug-miRNA Associations by Integrating Drug SMILES and MiRNA Sequence Information.
ICIC (2)
(2020)
Hai-Cheng Yi
,
Zhu-Hong You
,
Xiao-Rui Su
,
De-Shuang Huang
,
Zhen-Hao Guo
A Unified Deep Biological Sequence Representation Learning with Pretrained Encoder-Decoder Model.
ICIC (2)
(2020)
Ping Zhang
,
Bo-Wei Zhao
,
Leon Wong
,
Zhu-Hong You
,
Zhen-Hao Guo
,
Hai-Cheng Yi
A Novel Computational Method for Predicting LncRNA-Disease Associations from Heterogeneous Information Network with SDNE Embedding Model.
ICIC (2)
(2020)
Zhan-Heng Chen
,
Zhu-Hong You
,
Zhen-Hao Guo
,
Hai-Cheng Yi
,
Gong-Xu Luo
,
Yan-Bin Wang
Predicting Drug-Target Interactions by Node2vec Node Embedding in Molecular Associations Network.
ICIC (2)
(2020)
Hai-Cheng Yi
,
Zhu-Hong You
,
Mei-Neng Wang
,
Zhen-Hao Guo
,
Yan-Bin Wang
,
Ji-Ren Zhou
RPI-SE: a stacking ensemble learning framework for ncRNA-protein interactions prediction using sequence information.
BMC Bioinform.
21 (1) (2020)
Kai Zheng
,
Zhu-Hong You
,
Jian-Qiang Li
,
Lei Wang
,
Zhen-Hao Guo
,
Yu-An Huang
iCDA-CGR: Identification of circRNA-disease associations based on Chaos Game Representation.
PLoS Comput. Biol.
16 (5) (2020)
Zhan-Heng Chen
,
Zhu-Hong You
,
Li-Ping Li
,
Zhen-Hao Guo
,
Pengwei Hu
,
Han-Jing Jiang
Combining LSTM Network Model and Wavelet Transform for Predicting Self-interacting Proteins.
ICIC (1)
(2019)
Zhen-Hao Guo
,
Zhu-Hong You
,
Li-Ping Li
,
Yan-Bin Wang
,
Zhan-Heng Chen
Combining High Speed ELM with a CNN Feature Encoding to Predict LncRNA-Disease Associations.
ICIC (2)
(2019)
Hai-Cheng Yi
,
Zhu-Hong You
,
Yan-Bin Wang
,
Zhan-Heng Chen
,
Zhen-Hao Guo
,
Hui-Juan Zhu
In Silico Identification of Anticancer Peptides with Stacking Heterogeneous Ensemble Learning Model and Sequence Information.
ICIC (2)
(2019)
Yan-Bin Wang
,
Zhu-Hong You
,
Hai-Cheng Yi
,
Zhan-Heng Chen
,
Zhen-Hao Guo
,
Kai Zheng
Combining Evolutionary Information and Sparse Bayesian Probability Model to Accurately Predict Self-interacting Proteins.
ICIC (2)
(2019)