B i o A I − L a b

  • Hainan University, Haikou, Hainan Province, China

WELCOME TO BioAI−Lab

The Main Work Of Our Lab Is To Develop Artificial Intelligence Algorithms.And Their Applications In Bioinformatics

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WELCOME TO BioAI−Lab

The Main Work Of Our Lab Is To Develop Artificial Intelligence Algorithms.And Their Applications In Bioinformatics

Learn More

WELCOME TO BioAI−Lab

The Main Work Of Our Lab Is To Develop Artificial Intelligence Algorithms.And Their Applications In Bioinformatics

Learn More
lab Activities
Our Research

Peptide Drug Discovery

Our lab aims to developing an automated computational pipeline for peptide drug design and discovery, which involves bioactive peptide generation, prediction, and functional analysis (such as peptide toxicity).

Epigenomic Data Analysis

Our lab focuses on developing computational methods to accurately annotate epigenetic modifications in whole-genome scale, and study their functions in gene regulatory network.

Developing Machine Learning Algorithms

Our lab also focuses on the development of generic machine learning algorithms and applied them for analyzing biological sequence data and imaging data. We particularly interest in designing new representation learning architectures to automatically learn and extract the functional patterns underlying different data.

Developing Deep Learning Algorithms

Our lab also focuses on the development of generic machine learning algorithms and applied them for analyzing biological sequence data and imaging data. We particularly interest in designing new representation learning architectures to automatically learn and extract the functional patterns underlying different data.

Main Publications
Bioinformatics

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

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Briefings In Bioinformatics

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

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News

Ⅰ.Our work "webSCST: an interactive web application for single−cell RNA−sequencing data and spatial transcriptomic data integration." has been accepted for publication on Bioinformatics.


Ⅱ.Our work "Goals and approaches for each processing step for single−cell RNA sequencing data. " has been accepted for publication on Briefings in Bioinformatics.


Ⅲ.Our work "Critical downstream analysis steps for single−cell RNA sequencing data. " has been accepted for publication on Briefings in Bioinformatics.


Ⅳ.Our work "DeepMC−iNABP: Deep learning for multiclass identification and classification of nucleic acid−binding proteins. " has been accepted for publication on Computational and Structural Biotechnology Journal.


Ⅴ.Our work "Sequence representation approaches for sequence−based protein prediction tasks that use deep learning. " has been accepted for publication on Briefings in Functional Genomics.


Ⅵ.Our work "Single−cell RNA analysis reveals the potential risk of organ−specific cell types vulnerable to SARS−CoV−2 infections. " has been accepted for publication on Computers in Biology and Medicine.


Ⅶ.Our work "Single−cell RNA sequencing analysis identifies key genes in brain metastasis from lung adenocarcinoma. " has been accepted for publication on Current Gene Therapy.


Ⅷ.Our work " Computational biology and chemistry Special section editorial: Computational analyses for miRNA. " has been accepted for publication on Computational Biology and Chemistry.


Ⅸ.Our work "Protein−DNA/RNA interactions: Machine intelligence tools and approaches in the era of artificial intelligence and big data. " has been accepted for publication on Proteomics.

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Team
Tutor Team

Feifei Cui

Basic Introduction

Cui Feifei, Ph.D., associate professor of Hainan University, doctoral/master tutor. In 2012, she received a master's degree in computer science from Shandong University. From 2017 to 2020, she received a doctoral scholarship from the Ministry of Education, Culture, Sports, Science and Technology of Japan to study for a doctorate at the University of Tokyo (MEXT public study abroad), majoring in bioinformatics. The main research field is bioinformatics, and the research contents include but not limited to machine learning (deep learning), biological sequence classification, disease-related prediction of multi-omics data integration, etc. Presided over 1 regional project of the National Natural Science Foundation of China, 1 youth project of the National Natural Science Foundation of China, 1 youth project of the Natural Science Foundation of Sichuan Province, 1 general project of the China Postdoctoral Science Foundation and 1 introduction project of the Postdoctoral International Exchange Program ( has been completed). As the first author or corresponding author, she has published many papers in high-level bioinformatics SCI journals such as Briefings in Bioinformatics, Computational and Structural Biotechnology Journal.

Feifei Cui

Master/Doctoral Tutor

Zilong Zhang

Basic Introduction

Zhang Zilong, Ph.D., is an associate professor at the School of Computer Science and Technology, Hainan University, a doctoral/master tutor, a member of the Computational Biology and Bioinformatics (NCCBB) Professional Committee of the Chinese Bioengineering Society, and a letter evaluation expert of the National Natural Science Foundation of China (NSFC). Presided over a regional project of the National Natural Science Foundation of China, a youth project of the National Natural Science Foundation of China, a postdoctoral international exchange and introduction project (completed), and co-hosted a general project of the National Natural Science Foundation of China. Published many papers in top bioinformatics journals such as Bioinformatics and Briefings in Bioinformatics as the first author or corresponding author. Currently serving as a guest editor for Frontiers in Genetics, reviewer for PLoS Computational Biology, Briefings in Bioinformatics, Computers in Biology and Medicine, Frontiers of Computer Science, Briefings in Functional Genomics, Frontiers in Genetics, Frontiers in Molecular Biosciences, etc. .

Zilong Zhang

Master/Doctoral Tutor