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在化净化改善了基于DNA甲基化的儿科低度质瘤分类率

Liv Jürgensen1,2,3,4, Salvatore Benfatto1,2,3, Simone Schmid4,5

  • 1Department of Pediatric Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.

Acta neuropathologica
|September 27, 2025
PubMed
概括

这项研究引入了一种in silico净化方法,通过去除非瘤细胞信号来改善基于DNA甲基化的儿科低度质瘤 (pLGG) 的分类. 这提高了以前无法分类的pLGG样本的分子诊断准确度.

关键词:
癌症 癌症 癌症 癌症分类 分类 分类 分类.通过DNA甲基化.在化净化过程中.机器学习是机器学习.儿科低度结质瘤 儿科低度结质瘤

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