Yannan Bin

According to our database, Yannan Bin authored at least 18 papers between 2017 and 2023.

Collaborative distances:

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

2023

PhaGAA: an integrated web server platform for phage genome annotation and analysis.

Jiawei Wu, Qingrui Liu, Min Li, Jiliang Xu, Chen Wang, Junyin Zhang, Minfeng Xiao, Yannan Bin, Junfeng Xia

Bioinform., March, 2023

PACVP: Prediction of Anti-Coronavirus Peptides Using a Stacking Learning Strategy With Effective Feature Representation.

Shouzhi Chen, Yanhong Liao, Jianping Zhao, Yannan Bin, Chun-Hou Zheng

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Generative Adversarial Network-Based Data Augmentation Method for Anti-coronavirus Peptides Prediction.

Jiliang Xu, Chungui Xu, Ruifen Cao, Yonghui He, Yannan Bin, Chun-Hou Zheng

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

2022

PrMFTP: Multi-functional therapeutic peptides prediction based on multi-head self-attention mechanism and class weight optimization.

Wenhui Yan, Wending Tang, Lihua Wang, Yannan Bin, Junfeng Xia

PLoS Comput. Biol., September, 2022

DPProm: A Two-Layer Predictor for Identifying Promoters and Their Types on Phage Genome Using Deep Learning.

Chen Wang, Junyin Zhang, Li Cheng, Jiawei Wu, Minfeng Xiao, Junfeng Xia, Yannan Bin

IEEE J. Biomed. Health Informatics, 2022

Identifying multi-functional bioactive peptide functions using multi-label deep learning.

Wending Tang, Ruyu Dai, Wenhui Yan, Wei Zhang, Yannan Bin, En-Hua Xia, Junfeng Xia

Briefings Bioinform., 2022

NeuroPred-CLQ: incorporating deep temporal convolutional networks and multi-head attention mechanism to predict neuropeptides.

Shouzhi Chen, Qing Li, Jianping Zhao, Yannan Bin, Chunhou Zheng

Briefings Bioinform., 2022

An Ensemble Framework Integrating Whole Slide Pathological Images and miRNA Data to Predict Radiosensitivity of Breast Cancer Patients.

Chao Dong, Jie Liu, Wenhui Yan, Mengmeng Han, Lijun Wu, Junfeng Xia, Yannan Bin

Proceedings of the Intelligent Computing Theories and Application, 2022

2021

A Deep Learning-Based Method for Identification of Bacteriophage-Host Interaction.

Menglu Li, Yanan Wang, Fuyi Li, Yun Zhao, Mengya Liu, Sijia Zhang, Yannan Bin, Alexander Ian Smith, Geoffrey I. Webb, Jian Li, Jiangning Song, Junfeng Xia

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

BBPpred: Sequence-Based Prediction of Blood-Brain Barrier Peptides with Feature Representation Learning and Logistic Regression.

Ruyu Dai, Wei Zhang, Wending Tang, Evelien Wynendaele, Qizhi Zhu, Yannan Bin, Bart De Spiegeleer, Junfeng Xia

J. Chem. Inf. Model., 2021

An improved DNA-binding hot spot residues prediction method by exploring interfacial neighbor properties.

Sijia Zhang, Lihua Wang, Le Zhao, Menglu Li, Mengya Liu, Ke Li, Yannan Bin, Junfeng Xia

BMC Bioinform., 2021

2020

Prediction of hot spots in protein-DNA binding interfaces based on supervised isometric feature mapping and extreme gradient boosting.

Ke Li, Sijia Zhang, Di Yan, Yannan Bin, Junfeng Xia

BMC Bioinform., 2020

2019

Comprehensive Analysis of Alzheimer's Disease Biologically Candidate Causal Genes Revealed by Function Association Study With GWAS.

Yannan Bin, Qizhi Zhu, Menglu Li, Junfeng Xia

IEEE Access, 2019

Distinguishing Driver Missense Mutations from Benign Polymorphisms in Breast Cancer.

Xiyu Zhang, Ruoqing Xu, Yannan Bin, Zhenyu Yue

Proceedings of the Intelligent Computing Theories and Application, 2019

2018

Computational Prediction of Driver Missense Mutations in Melanoma.

Haiyang Sun, Zhenyu Yue, Le Zhao, Junfeng Xia, Yannan Bin, Di Zhang

Proceedings of the Intelligent Computing Theories and Application, 2018

Nucleotide-Based Significance of Somatic Synonymous Mutations for Pan-Cancer.

Yannan Bin, Xiaojuan Wang, Qizhi Zhu, Pengbo Wen, Junfeng Xia

Proceedings of the Intelligent Computing Theories and Application, 2018

Further Evidence for Role of Promoter Polymorphisms in TNF Gene in Alzheimer's Disease.

Yannan Bin, Ling Shu, Qizhi Zhu, Huanhuan Zhu, Junfeng Xia

Proceedings of the Intelligent Computing Theories and Application, 2018

2017

Investigating Alzheimer's Disease Candidate Genes Based on Combined Network Using Subnetwork Extraction Algorithms.

Xiaojuan Wang, Hua Yan, Di Zhang, Le Zhao, Yannan Bin, Junfeng Xia

Proceedings of the Intelligent Computing Theories and Application, 2017