Welcome to BioAI-Lab

Welcome To BioAi−Lab

zhangzilong@hainanu.edu.cn

feifeicui@hainanu.edu.cn
Hainan University, Haikou, Hainan Province, China

"webSCST: an interactive web application for single−cell RNA−sequencing data and spatial transcriptomic data integration."

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"Goals and approaches for each processing step for single−cell RNA sequencing data."

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"DeepMC−iNABP: Deep learning for multiclass identification and classification of nucleic acid&minus−binding proteins."

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Welcome To BioAI−Lab

Publications

# These authors contributed equally to the paper as first authors

* To whom correspondence should be addressed

2022

webSCST: an interactive web application for single−cell RNA−sequencing data and spatial transcriptomic data integration.

Zilong Zhang#, Feifei Cui#, Wei Su, Lijun Dou, Anqi Xu, Chen Cao, Quan Zou*.Bioinformatics,2022.Doi: 10.1093/bioinformatics/btac350.In press

DeepMC-iNABP: Deep learning for multiclass identification and classification of nucleic acid-binding proteins.

Feifei Cui#, Shuang Li#, Zilong Zhang, Miaomiao Sui, Chen Cao, Abd El-Latif Hesham, Quan Zou*. Computational and Structural Biotechnology Journal,2022.In press

Protein−DNA/RNA interactions: Machine intelligence tools and approaches in the era of artificial intelligence and big data.

Feifei Cui, Zilong Zhang, Chen Cao, Quan Zou, Dong Chen*, Xi Su*.Proteomics,2022.Doi: 10.1002/pmic.202100197.In press

iKcr_CNN: A novel computational tool for imbalance classification of human nonhistone crotonylation sites based on convolutional neural networks with focal loss.

Lijun Dou, Zilong Zhang, Lei Xu*, Quan Zou*.Computational and Structural Biotechnology Journal,2022.In press

webTWAS: a resource for disease candidate susceptibility genes identified by transcriptome-wide association study.

Chen Cao, Jianhau Wang, Devin Kwok, Feifei Cui, Zilong Zhang, Da Zhao, Mulin Jun Li, Quan Zou*.Nucleic acids research,2022.In press

Toward smarter management and recovery of municipal solid waste: A critical review on deep learning approaches.

Kunsen Lin, Youcai Zhao, Jia-Hong Kuo, Hao Deng, Feifei Cui, Zilong Zhang, Meilan Zhang, Chunlong Zhao, Xiaofeng Gao*, Tao Zhou*, Tao Wang*.Journal of Cleaner Production,2022.In press

Anticancer peptides prediction with deep representation learning features.

Zhibin Lv#, Feifei Cui#, Quan Zou*, Lichao Zhang*, Lei Xu*.Briefings in Bioinformatics,2021.In press

Sequence representation approaches for sequence−based protein prediction tasks that use deep learning.

Feifei Cui, Zilong Zhang, Quan Zou*. Briefings in Functional Genomics,2021.In press

Briefings in functional genomics special section editorial: analysis of integrated multiple omics data.

Feifei Cui, Liang Cheng *, Quan Zou *.Briefings in Functional Genomics,2021.In press

IEEE Access Special Section Editorial: Feature Representation and Learning Methods With Applications in Large−Scale Biological Sequence Analysis.

Feifei Cui, Quan Zou*, Qin Ma, Leyi Wei, Jijun Tang and Dariusz Mrozek. IEEE Access,2021.In press

"webSCST: an interactive web application for single−cell RNA−sequencing data and spatial transcriptomic data integration."

"Goals and approaches for each processing step for single−cell RNA sequencing data."

"DeepMC−iNABP: Deep learning for multiclass identification and classification of nucleic acid&minus−binding proteins."

Publications

# These authors contributed equally to the paper as first authors

* To whom correspondence should be addressed

2022

webSCST: an interactive web application for single−cell RNA−sequencing data and spatial transcriptomic data integration.

DeepMC-iNABP: Deep learning for multiclass identification and classification of nucleic acid-binding proteins.

Protein−DNA/RNA interactions: Machine intelligence tools and approaches in the era of artificial intelligence and big data.

iKcr_CNN: A novel computational tool for imbalance classification of human nonhistone crotonylation sites based on convolutional neural networks with focal loss.

webTWAS: a resource for disease candidate susceptibility genes identified by transcriptome-wide association study.

Toward smarter management and recovery of municipal solid waste: A critical review on deep learning approaches.

2021

Anticancer peptides prediction with deep representation learning features.

Sequence representation approaches for sequence−based protein prediction tasks that use deep learning.

Briefings in functional genomics special section editorial: analysis of integrated multiple omics data.

IEEE Access Special Section Editorial: Feature Representation and Learning Methods With Applications in Large−Scale Biological Sequence Analysis.

Computational biology and chemistry Special section editorial: Computational analyses for miRNA.

Goals and approaches for each processing step for single−cell RNA sequencing data.

Critical downstream analysis steps for single−cell RNA sequencing data.

Single−cell RNA analysis reveals the potential risk of organ−specific cell types vulnerable to SARS−CoV−2 infections.

Single−cell RNA sequencing analysis identifies key genes in brain metastasis from lung adenocarcinoma.

2020

Biocomputing and Synthetic Biology in Cells: Cells Special Issue.

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