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对基于变压器的语言模型在核酸序列分析中的应用进行了审查
Nimisha Ghosh1, Daniele Santoni2, Indrajit Saha3
1Department of Computer Science and Engineering, Shiv Nadar University, Chennai, Tamil Nadu, India.
Computational and structural biotechnology journal
|April 11, 2025
概括
变压器模型,最初来自自然语言处理 (NLP),现在正在改变生物信息学. 本综述探讨了它们对核酸序列分析的适应性,强调了生物序列研究中的关键特征和未来潜力.
科学领域:
- 生物信息学是一种生物信息学.
- 计算生物学 计算生物学
- 基因组学就是基因组学.
- 自然语言处理 (NLP) 是一种自然语言处理.
背景情况:
- 基于变压器的语言模型已经显著提升了自然语言处理 (NLP).
- 生物序列 (DNA,RNA) 与自然语言具有结构上的相似性,使得NLP模型能够适应.
- 这些先进模型在生物信息学中的应用是一个快速增长的领域.
研究的目的:
- 在核酸序列分析中审查和分析基于变压器模型的最新发展.
- 为生物信息学应用提供变压器架构和功能的概述.
- 引导研究人员为各种生物信息学挑战定制变压器模型.
主要方法:
- 综合文献审查和基于应用的研究论文的分析.
- 检查变压器模型特征和生物序列的适应策略.
- 综合当前的方法及其在核酸序列分析中的有效性.
主要成果:
- 确定了关键特征和各种方法来定制核酸序列的变压器模型.
- 证明了变形金刚在分析生物序列数据方面的巨大潜力.
- 提供了对变压器模型有效性的潜在机制和原因的见解.
结论:
- 变压器模型提供了强大的计算能力,用于在生物信息学中推进核酸序列分析.
- 这次审查为科学界提供了知识,以利用变压器进行生物序列研究.
- 鼓励进一步探索和应用变压器方法来解决复杂的生物信息学问题.
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