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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...

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Principais autores: 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
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2023-08-01
coleção:Frontiers in Oncology
Assuntos:
mature B-cell neoplasms (MBNs)
pathological diagnosis
next-generation sequencing (NGS)
machine learning (ML)
subtype classification
Acesso em linha:https://www.frontiersin.org/articles/10.3389/fonc.2023.1160383/full
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