A robust data mining algorithm is presented as a critical solution to the challenge of managing intensive data generated from the recently developed multiplexing techniques, which allow simultaneous detection of up to 500 biomarkers in a few microliters of a single sample. Furthermore, detailed methodology is provided for exploiting the new algorithm along with examples for description of the first application as a powerful diagnostic and therapeutic monitoring tool in the management of breast cancer, as a disease model.

中文翻译：

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多重分析物分析 (MAP) 指数作为强大的诊断和治疗监测工具

提出了一种强大的数据挖掘算法，作为应对管理由最近开发的多路复用技术生成的密集数据这一挑战的关键解决方案，该技术允许在几微升的单个样品中同时检测多达 500 种生物标志物。此外，还提供了详细的方法来利用新算法以及用于描述第一个应用程序作为乳腺癌管理中强大的诊断和治疗监测工具的示例，作为疾病模型。