基因发现由一个大型语言模型所实现
Tao Tu1, Zhouqing Fang2, Zhuanfen Cheng2
1Google Research, Mountain View, CA, USA.
bioRxiv : the preprint server for biology
|November 21, 2023
概括
像Med-PaLM 2这样的大型语言模型 (LLM) 可以通过在小鼠模型中分析基因-表型关系来加速遗传发现. 这种人工智能工具成功地确定了复杂特征的致病基因,有助于新模型的开发.
科学领域:
- 基因组学就是基因组学.
- 生物信息学是一种生物信息学.
- 人工智能在医学中的应用
背景情况:
- 大型语言模型 (LLM) 显示出医学临床应用的希望.
- 对于LLMs加速遗传发现的潜力,仍然在很大程度上未被探索.
- 调查LLM实用性需要强大的实验模型,例如来自小鼠遗传学的模型.
结论:
- Med-PaLM 2在分析复杂的基因-表型关系方面表现出能力.
- 简单的LLM可以产生新的假设,大大促进了遗传发现的过程.
- 这项研究证实了人工智能的使用,特别是LLM,作为推进基因组研究的工具.
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