人工智能:人类应对生物学的大数据的复杂性
Giovanni Melandri1,2, Georges R-Radohery1, Chloé Beaumont1
1University of Bordeaux, INRAE, UMR 1332 BFP, Villenave d'Ornon 33140, France.
GigaScience
|June 12, 2025
概括
通过分析复杂的生物数据,人工智能 (AI) 正在彻底改变生命科学. 这篇评论强调了人工智能.
科学领域:
- 生命科学 生命科学
- 生物信息学是一种生物信息学.
- 计算生物学 计算生物学
背景情况:
- 自2010年代末以来,人工智能 (AI),包括机器学习和深度学习,已经显著影响了生命科学研究.
- 高通量omics数据的激增需要先进的计算分析方法.
- 人工智能对于自然产品的发现和生态系统动态学的研究至关重要.
研究的目的:
- 审查人工智能在生命科学中的变革性作用,特别是在omics数据分析中.
- 探索人工智能在植物,动物和微生物科学中的应用.
- 讨论omics数据,预测分析和人工智能用于系统生物学的整合.
主要方法:
- 关于人工智能在生命科学中的应用现有文献的综述.
- 分析AI在处理高吞吐量omics数据中的作用.
- 在系统生物学中对人工智能驱动的预测分析进行检查.
主要成果:
- 人工智能,特别是深度学习,对于生命科学中的计算分析至关重要.
- 奥米克斯数据推动了基于人工智能的分析方法的需求.
- 人工智能增强了对各种生命科学领域复杂生物系统的理解.
结论:
- 人工智能对于现代生命科学研究是不可或缺的,尤其是在omics数据方面.
- 遵守FAIR数据原则对于人工智能驱动的omics研究至关重要.
- 未来的机遇在于利用人工智能获得更深入的生物学见解,尽管面临挑战.
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