基因斯温变压器:使用转录组数据进行结直肠癌预后的新深度学习方法
Yangyang Wang1, Xinyu Yue1, Shenghan Lou1
1Department of Colorectal Surgery, Harbin Medical University Cancer Hospital, No.150 Haping Road, Harbin, Heilongjiang 150081, China.
Briefings in bioinformatics
|June 14, 2025
概括
一种新的基因旋转转换器方法将RNA测序数据转换为图像,用于预测结直肠癌的预后. 增强的Swin-T模型显示出强大的预测性能,确定PEX10作为一个关键的预后标记.
科学领域:
- 在瘤学瘤学.
- 生物信息学是一种生物信息学.
- 计算生物学 计算生物学
背景情况:
- 转录组测序对于瘤研究至关重要,但产生复杂的数据.
- 从基因表达中识别临床相关信息是具有挑战性的.
研究的目的:
- 开发一种新的方法,Gene Swin Transformer,用于分析转录基因数据.
- 预测结直肠癌的预后,使用对转换的转录基因数据的深度学习.
主要方法:
- 转录数据转换为合成图像元素 (SIE).
- 进行深度学习模型 (BeiT,ResNet,Swin Transformer,ViT Transformer) 的培训和评估.
- 使用精度,回忆,F1分数和AUC值进行性能比较.
主要成果:
- 增强的Swin-T模型在预后预测方面表现出卓越的表现.
- 实现了加权精度 (0.708),回忆 (0.692) 和F1 (0.705).
- 通过注意力分析和生物信息学,确定PEX10基因作为显著的预后标志物.
结论:
- 基因斯温模型有效地将RNA测序数据转化为SIEs,用于预测预后.
- 该方法支持用于RNA测序分析的数据驱动,自动化模型.
- 介绍了癌症预后预测的新型临床策略.
相关概念视频
02:07Improving Translational Accuracy
Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
02:07Improving Translational Accuracy
Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...