MethPriorGCN: a deep learning tool for inferring DNA methylation prior knowledge and guiding personalized medicine DOI Creative Commons
Jie Ni, Bin Li, Shumei Miao

и другие.

Briefings in Bioinformatics, Год журнала: 2025, Номер 26(2)

Опубликована: Март 1, 2025

DNA methylation plays a crucial role in human diseases pathogenesis. Substantial experimental evidence from clinical and biological studies has confirmed numerous methylation-disease associations, which provide valuable prior knowledge for advancing precision medicine through biomarker discovery disease subtyping. To systematically mine reliable known associations develop robust computational methods applications, we propose MethPriorGCN. By integrating layer attention mechanisms feature weighting mechanisms, MethPriorGCN not only identified digital biomarkers but also achieved superior subtype classification accuracy.

Язык: Английский

MethPriorGCN: a deep learning tool for inferring DNA methylation prior knowledge and guiding personalized medicine DOI Creative Commons
Jie Ni, Bin Li, Shumei Miao

и другие.

Briefings in Bioinformatics, Год журнала: 2025, Номер 26(2)

Опубликована: Март 1, 2025

DNA methylation plays a crucial role in human diseases pathogenesis. Substantial experimental evidence from clinical and biological studies has confirmed numerous methylation-disease associations, which provide valuable prior knowledge for advancing precision medicine through biomarker discovery disease subtyping. To systematically mine reliable known associations develop robust computational methods applications, we propose MethPriorGCN. By integrating layer attention mechanisms feature weighting mechanisms, MethPriorGCN not only identified digital biomarkers but also achieved superior subtype classification accuracy.

Язык: Английский

Процитировано

0