CoFormerSurv:用于多omics生存分析的协作变压器
1School of Mathematics and Statistics, Zhengzhou University, Zhengzhou, Henan Province, China.
PLoS computational biology
|January 7, 2026
概括
我们介绍了CoFormerSurv,这是一个新的变压器框架,用于多omics生存分析. 这种方法通过整合inter-omics和精准医学的交叉样本信息来增强预后预测.
科学领域:
- 生物医学是生物医学.
- 计算生物学 计算生物学
- 基因组学就是基因组学.
背景情况:
- 高通量测序产生了大量的多omics数据,对于理解疾病复杂性至关重要.
- 多omics生存分析改善了个性化医学的预后预测.
- 变压器架构显示出希望,但在多omics生存分析中面临右翼审查数据的挑战.
研究的目的:
- 提出一个创新的协作变压器框架,CoFormerSurv,用于多omics生存分析.
- 有效地利用变压器架构来提取跨不同omics的互补信息.
- 通过解决模拟正确审查数据的挑战来提高生存预测性能.
主要方法:
- 开发了CoFormerSurv,这是一个具有两种架构的协作变压器框架:inter-omics变压器和inter-sample图形变压器.
- 互奥米克变压器使用多头自我注意力来捕获跨奥米克的互补信息.
- 跨样本图形转换器集成了来自融合多omics图形的结构信息,以探索样本关系.
主要成果:
- CoFormerSurv通过协作方式生成了全面的多omics功能.
- 该框架提高了Cox-PH模型在生存分析中的性能.
- 实验结果表明,与单个变压器架构和现有模型相比,性能优越.
结论:
- CoFormerSurv有效地从跨经济和跨样本的角度探索互补信息.
- 拟议的方法推进了多omics生存分析,以改善预后预测.
- 这一框架有可能在精准医学中开发更有效的个性化治疗策略.
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