GUANinE v1.0:基因组AI序列到功能模型的基准数据集
Eyes S Robson1, Nilah M Ioannidis2
1Center for Computational Biology, UC Berkeley, Berkeley, CA 94720.
bioRxiv : the preprint server for biology
|October 31, 2023
概括
我们介绍了GUANinE,这是一个大规模的基因组AI基准,用于评估模型概括. 这种基因组基因组基因组基因组基因组基因组基因组基因组基因组基因组基因组基因组基因组基因组基因组基因组基因组基因组基因组基因组基因组基因组基因组基因组基因组基因组基因组基因组基因组基因组基因组基因组基因组基因组基因组基因组基因组基因组基因组基因组基因组基因组基因组基因组基因组基因组基因组基因组基因组基因组基因组基因组基因组基因组基因组基因组基因组基因组基因组基因组基因组基因组基因组基因组基因组基因组基因.
科学领域:
- 计算基因组学是一种计算基因组学.
- 人工智能 (AI) 是一种人工智能.
- 生物信息学是一种生物信息学.
背景情况:
- 机器学习对于基因组解释至关重要,但缺乏标准化的评估方法.
- 人工智能领域的进步,如基因组AI的基准测试和审计,是需要的.
- 现有的基准不足以评估现代的神经序列到功能模型.
研究的目的:
- 提出GUANinE,这是一个新的,大规模的基因组AI模型概括评估的基因基因基因基因基因基因基因基因基因基因基因基因基因.
- 促进在计算基因组学中严格的模型规范和受控评估.
- 评估预训练模型在各种功能基因组学和进化生物学任务上的表现.
主要方法:
- 开发GUANinE基准 (v1.0) 以功能基因组学和序列保存任务为重点.
- 包括适合评估预训练模型的大规模无噪声数据集.
- 现有的基因组AI模型和非神经基线与GUANinE基准的比较.
主要成果:
- GUANinE提供了对当前基因组AI模型和基线的性能的见解.
- 该基准适用于评估新的自主监督T5模型.
- 探索代币化策略及其对模型性能的影响.
结论:
- GUANinE解决了基因组AI中标准化,大规模评估的需求.
- 该基准支持对基因组学自主监督学习方法的评估.
- 随着基因组AI的成熟,GUANinE为未来的改进和扩展提供了一个平台.
相关概念视频
02:54Evolutionary Relationships through Genome Comparisons
5.8K
Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
5.8K
03:00Next-generation Sequencing
89.0K
The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features....
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features....
89.0K