Determining clinical course of diffuse large B-cell lymphoma using targeted transcriptome and machine learning algorithms

Multiple studies have demonstrated that diffuse large B-cell lymphoma (DLBCL) can be divided into subgroups based on their biology; however, these biological subgroups overlap clinically. Using machine learning, we developed an approach to stratify patients with DLBCL into four subgroups based on su...

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Detalles Bibliográficos
Autores principales: Albitar, Maher, Zhang, Hong, Goy, Andre, Xu-Monette, Zijun Y., Bhagat, Govind, Visco, Carlo, Tzankov, Alexandar, Fang, Xiaosheng, Zhu, Feng, Dybkaer, Karen, Chiu, April, Tam, Wayne, Zu, Youli, Hsi, Eric D., Hagemeister, Fredrick B., Huh, Jooryung, Ponzoni, Maurilio, Ferreri, Andrés J. M., Møller, Michael B., Parsons, Benjamin M., van Krieken, J. Han, Piris, Miguel A., Winter, Jane N., Li, Yong, Xu, Bing, Young, Ken H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8807629/
https://www.ncbi.nlm.nih.gov/pubmed/35105854
http://dx.doi.org/10.1038/s41408-022-00617-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8807629/
https://www.ncbi.nlm.nih.gov/pubmed/35105854
http://dx.doi.org/10.1038/s41408-022-00617-5

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