计算机科学
钥匙(锁)
人工智能
透视图(图形)
人工智能应用
机器学习
数据科学
数据挖掘
数据建模
人工神经网络
作者
Mingjing Li,Q Shang,Ziyang Dong,Z. S. You,Li Zhang,Ming Xiao
出处
期刊:Quantitative Biology
[Springer Science+Business Media]
日期:2025-12-22
卷期号:14 (2): e70026-e70026
摘要
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.
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