基因PT:基因和细胞的简单但有效的基础模型,由ChatGPT构建
Yiqun Chen1, James Zou1,2,3
1Department of Biomedical Data Science, Stanford University, Stanford, 94305, CA, USA.
bioRxiv : the preprint server for biology
|October 31, 2023
概括
通过使用基因文献嵌入,GenePT为单细胞生物学基础模型提供了更简单的方法. 这种方法有效地产生了与现有模型相比或优于现有模型的细胞嵌入,而不需要大量的数据策划.
科学领域:
- 计算生物学 计算生物学
- 基因组学就是基因组学.
- 生物信息学是一种生物信息学.
背景情况:
- 对于单细胞生物学的基础模型利用大规模的基因表达数据.
- 像Geneformer和scGPT这样的现有模型需要广泛的数据策划和资源密集型培训.
结论:
- GenePT为开发单细胞生物学基础模型提供了一种简化和有效的替代方案.
- 这种方法突出了使用基于文献的嵌入用于生物数据分析的潜力.
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