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Updated: Jan 28, 2026

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BiChemoCLAM:一种监督较弱的多式联络框架,用于预测化疗反应

Jinglong Gui1, Changming Sun2, Jia Zhou3

  • 1School of Computer Software, College of Intelligence and Computing, Tianjin University, Ya Guan Road No. 135, Haihe Education Park, Jinnan District, Tianjin, 300354, China.

Briefings in bioinformatics
|January 26, 2026
PubMed
概括

这项研究介绍了BiChemoCLAM,这是一种用于预测化疗反应的新型深度学习框架. 该模型有效地整合了成像和分子数据,提高了各种癌症类型的预测准确度.

关键词:
化疗反应的化学疗法反应.深度学习是一种深度学习.基因表达的基因表达方式多式联网紧双线共享多式联网.整个幻灯片图像 整体幻灯片图像

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