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GRADING MODEL FOR DETECTING BENIGN AND MALIGNANT DEGREES OF BREAST TURMORS AND APPLICATION THEREOF

机译:乳腺良恶性的分级模型及其应用

摘要

A grading model for detecting breast tumors and an application thereof. The model grades the change of an imprinted gene in breast tumors by calculating the expression amount of imprinted gene deletion, the expression amount of abnormal imprinted gene copy numbers and total expression amount of the imprinted gene. The detection model and device visually present the expression of imprinting deletion in tissues and cell samples of breast tumor patients, and detect the change in the imprinted (blotted) gene objectively, visually, early and accurately by the method of in situ labeling for the imprinted gene, and can provide quantitative models.
机译:一种检测乳腺肿瘤的分级模型及其应用。该模型通过计算印迹基因缺失的表达量,异常印迹基因拷贝数的表达量和印迹基因的总表达量来对乳腺肿瘤中印迹基因的变化进行分级。该检测模型和装置以视觉方式呈现乳腺肿瘤患者组织和细胞样品中印迹缺失的表达,并通过原位标记印迹的方法客观,直观,早期和准确地检测印迹(印迹)基因的变化。基因,并可以提供定量模型。

著录项

  • 公开/公告号WO2019105381A1

    专利类型

  • 公开/公告日2019-06-06

    原文格式PDF

  • 申请/专利权人 LISEN IMPRINTING DIAGNOSTICS INC.;LI XING;

    申请/专利号WO2018CN117891

  • 发明设计人 CHENG TONG;ZHOU NING;

    申请日2018-11-28

  • 分类号C12Q1/6886;C12N15/11;

  • 国家 WO

  • 入库时间 2022-08-21 11:54:35

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