Siguo Wang

According to our database, Siguo Wang authored at least 17 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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., January, 2024

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., December, 2023

DeepTPpred: A Deep Learning Approach With Matrix Factorization for Predicting Therapeutic Peptides by Integrating Length Information.

Zhen Cui, Siguo Wang, Ying He, Zhan-Heng Chen, Qinhu Zhang

IEEE J. Biomed. Health Informatics, September, 2023

Computational prediction and characterization of cell-type-specific and shared binding sites.

Qinhu Zhang, Pengrui Teng, Siguo Wang, Ying He, Zhen Cui, Zhenghao Guo, Yixin Liu, Changan Yuan, Qi Liu, De-Shuang Huang

Bioinform., January, 2023

Using Fully Convolutional Network to Locate Transcription Factor Binding Sites Based on DNA Sequence and Conservation Information.

Qinhu Zhang, Youhong Xu, Siguo Wang, Yong Wu, Yuannong Ye, Chang-An Yuan, Valeriya V. Gribova, Vladimir Fedorovich Filaretov, De-Shuang Huang

IEEE ACM Trans. Comput. Biol. Bioinform., 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

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

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., October, 2022

FCNGRU: Locating Transcription Factor Binding Sites by Combing Fully Convolutional Neural Network With Gated Recurrent Unit.

Siguo Wang, Ying He, Zhanheng Chen, Qinhu Zhang

IEEE J. Biomed. Health Informatics, 2022

Predicting In-Vitro DNA-Protein Binding With a Spatially Aligned Fusion of Sequence and Shape.

Qinhu Zhang, Yindong Zhang, Siguo Wang, Zhan-Heng Chen, Valeriya V. Gribova, Vladimir Fedorovich Filaretov, De-Shuang Huang

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

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, De-Shuang Huang

PLoS Comput. Biol., 2022

2021

Locating transcription factor binding sites by fully convolutional neural network.

Qinhu Zhang, Siguo Wang, Zhanheng Chen, Ying He, Qi Liu, De-Shuang Huang

Briefings Bioinform., 2021

A survey on deep learning in DNA/RNA motif mining.

Ying He, Zhen Shen, Qinhu Zhang, Siguo Wang, De-Shuang Huang

Briefings Bioinform., 2021

2020

A New Method Combining DNA Shape Features to Improve the Prediction Accuracy of Transcription Factor Binding Sites.

Siguo Wang, Zhen Shen, Ying He, Qinhu Zhang, Changan Yuan, Xiao Qin, Hongjie Wu, Xingming Zhao

Proceedings of the Intelligent Computing Theories and Application, 2020

Three-Layer Dynamic Transfer Learning Language Model for E. Coli Promoter Classification.

Ying He, Zhen Shen, Qinhu Zhang, Siguo Wang, Changan Yuan, Xiao Qin, Hongjie Wu, Xingming Zhao

Proceedings of the Intelligent Computing Theories and Application, 2020

2018

Identifying Essential Proteins in Dynamic PPI Network with Improved FOA.

Xiujuan Lei, Siguo Wang, Linqiang Pan

Int. J. Comput. Commun. Control, 2018

2017

Predicting Essential Proteins Based on Gene Expression Data, Subcellular Localization and PPI Data.

Xiujuan Lei, Siguo Wang, Linqiang Pan

Proceedings of the Bio-inspired Computing: Theories and Applications, 2017