Work

Applications of large‐scale artificial intelligence models in bioinformatics

Year: 2025

Type: article

Abstract: Large-scale artificial intelligence (AI) models can mine potential patterns from massive amounts of data and provide more accurate analyses. This capability has enabled its gradual application in various areas of bioinformatics. However, few reviews have comprehensively summarized the applications of different types of large-scale AI models in key areas of bioinformatics. Therefore, we first introduce the concept of large-scale AI models and classify them into three types. Second, we summarize the key methods, applications, and resources of these three types of bioinformatics models. Finally, we discuss challenges and directions for future research. This review provides researchers with a comprehensive perspective to better understand the applications of large-scale AI models in bioinformatics.

Source: Quantitative Biology

DOI: 10.1002/qub2.70026

Authors: Mingjing Li, Qichen Shang, Ziyang Dong, Zhixuan You, Le Zhang, Ming Xiao

Institution: Sichuan University

Language: English

Topic: Machine Learning in Bioinformatics

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: diamond

Funders: National Natural Science Foundation of China, National Science and Technology Major Project

Awards: G11423342, G2813597990