Machine learning models-based on integration of next-generation sequencing testing and tumor cell sizes improve subtype classification of mature B-cell neoplasms

BackgroundNext-generation sequencing (NGS) panels for mature B-cell neoplasms (MBNs) are widely applied clinically but have yet to be routinely used in a manner that is suitable for subtype differential diagnosis. This study retrospectively investigated newly diagnosed cases of MBNs from our laborat...

Descripció completa

Dades bibliogràfiques

Autors principals:	Yafei Mu, Yuxin Chen, Yuhuan Meng, Tao Chen, Xijie Fan, Jiecheng Yuan, Junwei Lin, Jianhua Pan, Guibin Li, Jinghua Feng, Kaiyuan Diao, Yinghua Li, Shihui Yu, Lingling Liu
Format:	Artigo
Idioma:	Inglês
Publicat:	Frontiers Media S.A. 2023-08-01
Col·lecció:	Frontiers in Oncology
Matèries:	mature B-cell neoplasms (MBNs) pathological diagnosis next-generation sequencing (NGS) machine learning (ML) subtype classification
Accés en línia:	https://www.frontiersin.org/articles/10.3389/fonc.2023.1160383/full
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!