BTK Expression Level Prediction and the High-Grade Glioma Prognosis Using Radiomic Machine Learning Models
Author:
Funder
Key Technologies Research and Development Program
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10278-024-01026-9.pdf
Reference60 articles.
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3. Hernández Martínez A, Madurga R, García-Romero N, Ayuso-Sacido Á. Unravelling glioblastoma heterogeneity by means of single-cell RNA sequencing. Cancer Lett. 2022;527:66-79. https://doi.org/10.1016/j.canlet.2021.12.008
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5. Louis DN, Perry A, Reifenberger G, et al. The 2016 World Health Organization Classification of Tumors of the Central Nervous System: a summary. Acta Neuropathol. 2016;131(6):803-820. https://doi.org/10.1007/s00401-016-1545-1
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