基于条件的相互信息的单样样本网络生物标志物方法揭示了疾病进展的关键过渡时刻

Lantian Zhang1, Fuyan Hu1, Qingjia Chi2

  • 1Department of Statistics, School of Mathematics and Statistics, Wuhan University of Technology, 122 Luoshi Road, Wuhan, Hubei, PR China.

概括

这项研究引入了一种新的计算方法,即基于条件互惠信息的单样样本网络生物标志物 (CMISNB),用于识别关键疾病过渡时刻. 这种方法通过分析单个样本数据,有助于早期发现癌症和个性化治疗.

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