Data Sheet 1_MRI-based radiomic clustering identifies a glioblastoma subtype enriched for neural stemness and proliferative programs.csv

Data Sheet 1_MRI-based radiomic clustering identifies a glioblastoma subtype enriched for neural stemness and proliferative programs.csv

Introduction<p>Glioblastoma (GBM) is a highly aggressive brain tumor with a median survival of only 15 months. A major challenge in GBM management is the pronounced inter- and intratumoral heterogeneity, which complicates prognosis and therapy. Radiomics, the quantitative extraction of feature...

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Opis bibliograficzny
1. autor: Zhongyi Zhang (219440) (author)
Kolejni autorzy: Yang Liu (4829) (author), Zhicong Zhang (2076790) (author), Tian Gui (11355239) (author), Youhui Chen (9027149) (author), Qian Chen (18883) (author), Xiufu Wu (22678673) (author), Li Sun (4624) (author), Sujie Li (11215965) (author), Shuyang Wei (15192936) (author)
Wydane: 2025
Hasła przedmiotowe:
Oncology and Carcinogenesis not elsewhere classified
radiogenomics
glioblastoma
single-cell transcriptomics
spatial transcriptomics
neural stem-like cells
tumor heterogeneity
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