AI模型解读三十亿碱基的“语法”

格隆汇
Sep 11
美国加州大学伯克利分校团队创建了基因组语言模型GPN-Star,可解读30亿碱基的“语法”,在识别人类遗传变异方面更快更准。该模型利用全基因组比对数据从进化中学习内容,并以远低于大型模型的计算成本完成训练。团队同步发布全基因组预测注释,供生物学家筛选优先实验的致病变异与调控元件。相关论文9日发表于《自然》杂志。

Disclaimer: Investing carries risk. This is not financial advice. The above content should not be regarded as an offer, recommendation, or solicitation on acquiring or disposing of any financial products, any associated discussions, comments, or posts by author or other users should not be considered as such either. It is solely for general information purpose only, which does not consider your own investment objectives, financial situations or needs. TTM assumes no responsibility or warranty for the accuracy and completeness of the information, investors should do their own research and may seek professional advice before investing.

Most Discussed

  1. 1
     
     
     
     
  2. 2
     
     
     
     
  3. 3
     
     
     
     
  4. 4
     
     
     
     
  5. 5
     
     
     
     
  6. 6
     
     
     
     
  7. 7
     
     
     
     
  8. 8
     
     
     
     
  9. 9
     
     
     
     
  10. 10