RNA序列分析格局:对任务类型,数据库,数据集,词嵌入方法和语言模型进行全面的审查.
Muhammad Nabeel Asim1, Muhammad Ali Ibrahim1,2, Tayyaba Asif2
1German Research Center for Artificial Intelligence GmbH, Kaiserslautern, 67663, Germany.
Heliyon
|February 3, 2025
概括
这项研究弥合了AI和RNA序列分析之间的差距,为AI研究人员提供了47项任务的生物基础. 它为RNA序列分析应用程序的基准数据集和调查AI模型提供了便利.
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.
背景情况:
- RNA序列对于基因调节和蛋白质合成至关重要,其中的异常与癌症等疾病有关.
- 通过基于RNA的药物和基因疗法,正在探索RNA的治疗潜力,以实现个性化医疗.
- 准确的RNA序列分析对于理解生物功能和早期疾病检测至关重要.
研究的目的:
- 弥合人工智能研究人员和分子生物学家在RNA序列分析方面的知识差距.
- 为开发人工智能驱动的RNA序列分析应用程序提供全面的资源.
- 促进创建基准数据集和评估用于RNA分析的AI模型.
主要方法:
- 为 47 个不同的RNA序列分析任务提供生物基础的AI研究人员.
- 通过整合来自64个生物数据库的数据,促进基准数据集的开发.
- 在47个RNA序列分析任务中介绍了词嵌入和语言模型的应用.
主要成果:
- 对58个词嵌入和70个预测管道的语言模型进行了全面的调查.
- 在47个任务中基于AI和传统序列编码预测器的性能值.
- 确定用于RNA序列分析的高性能预测管道.
结论:
- 这份手稿是人工智能研究人员进入RNA序列分析的基础资源.
- 它促进了人工智能驱动工具的开发,用于各种RNA序列分析应用.
- 提供的基准和绩效评估简化了创建新型RNA分析预测器的过程.
关键词:
人工智能在基因组学中的应用人工智能的人工智能是人工智能.深度学习是一种深度学习.疾病分析 疾病分析基因分析 基因分析基因表达调节 基因表达调节基因网络分析 基因网络分析机器学习是机器学习.多个omics的多个omics.功能性RNA分析是指RNA功能分析.基因组RNA的修改 基因组RNA的改变分析RNA序列的分析.通过RNA测序来测序RNA序列.更多相关视频
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