Comprehensive tissue deconvolution of cell-free DNA by deep learning for disease diagnosis and monitoring

利用深度学习对cfDNA进行全面的组织解卷积用于疾病诊断和监测.

A novel sequence-based transformer model architecture for integrating multi-omics data in preterm birth risk prediction

一种用于整合多组学数据以预测早产风险的新型基于序列的Transformer模型架构.

Early cancer detection via multi-omics cfDNA fragmentation using early-late fusion neural network with sample-modality evaluation

利用多组学cfDNA片段结合早期-晚期融合神经网络和样本模态评估进行早期癌症检测.

Multimodal Cell-Free DNA Embeddings are Informative for Early Cancer Detection

多模态cfDNA嵌入对早期癌症检测具有重要意义.

Multimodal AI for Single cfDNA Profiling and Cancer Screening

单次cfDNA分析和癌症筛查的多模态人工智能.

EM-DeepSD: A Deep Neural Network Model Based on Cell-Free DNA End-Motif Signal Decomposition for Cancer Diagnosis

EM-DeepSD：基于cfDNA末端基序信号分解的深度神经网络模型用于癌症诊断.