Fragle: Universal ctDNA quantification using deep learning of fragmentomic profiles

Fragle: 使用片段组学深度学习进行通用ctDNA定量.

Transformer-based representation learning and multiple-instance learning for cancer diagnosis exclusively from raw sequencing fragments of bisulfite-treated plasma cell-free DNA

直接用亚硫酸氢盐处理的cfDNA原始测序片段进行癌症诊断的基于Transformer的表示学习和多实例学习.

Language model enables end-to-end accurate detection of cancer from cell-free DNA

语言模型助力基于cfDNA的端到端准确癌症检测.

Knowledge-informed multimodal cfDNA analysis improves sensitivity and generalization in cancer detection

知识引导的多模态cfDNA分析能够提高癌症检测的灵敏度和泛化性.

Deep learning model integrating cfDNA methylation and fragment size profiles for lung cancer diagnosis

深度学习模型整合cfDNA甲基化和片段大小谱用于肺癌诊断.

Human whole epigenome modelling for clinical applications with Pleiades

通过Pleiades进行人类全表观基因组建模以应用于临床研究.