大规模人工智能模型在生物信息学中的应用
Mingjing Li1, Qichen Shang1, Ziyang Dong1
1College of Computer Science Sichuan University Chengdu China.
Quantitative biology (Beijing, China)
|February 12, 2026
概括
大规模的人工智能 (AI) 模型在生物信息学中提供先进的数据分析. 本综述对人工智能模型进行了分类,详细介绍了它们的生物信息学应用,方法和未来的研究方向.
科学领域:
- 生物信息学是一种生物信息学.
- 人工智能的人工智能
背景情况:
- 大规模的人工智能 (AI) 模型擅长在广泛的数据集中识别模式,从而提高分析准确性.
- 人工智能在生物信息学中的应用正在增长,但对不同类型的人工智能模型的全面审查很少.
研究的目的:
- 将大规模AI模型引入和分类为三种不同的类型.
- 总结与生物信息学中这些AI模型相关的方法,应用和资源.
- 讨论当前的挑战和未来在该领域的研究途径.
主要方法:
- 大规模人工智能模型的概念介绍和分类.
- 对人工智能模型应用,方法和生物信息学中可用的资源进行系统审查.
- 对挑战和未来研究方向的分析.
主要成果:
- 大规模人工智能模型的分类为三个主要类型.
- 详细概述生物信息学中每个AI模型类型的方法和应用.
- 确定利用这些模型的关键资源和工具.
结论:
- 大规模的人工智能模型在生物信息学中越来越重要,用于高级数据分析.
- 本综述提供了对人工智能应用的全面视角,帮助研究人员理解和利用这些强大的工具.
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