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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...
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. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
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 |
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