Development of a prognostic model related to homologous recombination deficiency in glioma based on multiple machine learning

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Title:: Development of a prognostic model related to homologous recombination deficiency in glioma based on multiple machine learning
Document type:: Zeitschriftenaufsatz
Author(s):: Gong, Zhenyu ; Zhou, Dairan ; Shen, Haotian ; Ma, Chao ; Wu, Dejun ; Hou, Lijun ; Wang, Hongxiang ; Xu, Tao
Keywords:: Immunology ; glioma ; homologous recombination deficiency ; prognosis ; machine learning ; risk model
Journal title:: Frontiers in Immunology
Year:: 2024
Journal volume:: 15
Fulltext / DOI:: doi:10.3389/fimmu.2024.1452097
Publisher:: Frontiers Media S.A.
E-ISSN:: 1664-3224
Date of publication:: 07.10.2024
CC license:: by, https://creativecommons.org/licenses/by/4.0

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