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基于变压器的特征提取方法用于血液构造癌症亚型分类的分类.

Kwang Ho Park1, Younghee Lee2, Wei Ding3

  • 1National Cancer Data Center, National Cancer Control Institute, National Cancer Center, Goyang, Gyeonggido, Republic of Korea; Database/Bioinformatics Laboratory, School of Electrical and Computer Engineering, Cheongju, 28644, Chungcheongbukdo, Republic of Korea.

Computers in biology and medicine
|January 20, 2026
PubMed
概括

一个基于变压器的新型自编码器使用基因表达数据准确地分类了造血性癌症亚型. 这种方法提高了预测准确度,并确定了血液恶性瘤的关键生物标志物.

关键词:
自动编码器自动编码器造血性癌症 造血性癌症是什么?机器学习 机器学习亚型分类的分类类型分类.变压器变压器变压器

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