MEANS AND METHODS FOR RECOGNIZING THE DEVELOPMENT OF CARDIOVASCULAR DISEASE IN AN INDIVIDUAL
    11.
    发明申请
    MEANS AND METHODS FOR RECOGNIZING THE DEVELOPMENT OF CARDIOVASCULAR DISEASE IN AN INDIVIDUAL 审中-公开
    识别个体发生心血管疾病的手段和方法

    公开(公告)号:US20120122720A1

    公开(公告)日:2012-05-17

    申请号:US13318804

    申请日:2010-05-05

    摘要: A method of recognizing the development of an Acute Myocardial Infarction (AMI) process in an individual, wherein the method comprises steps of: profiling specific antibody reactivities or biomarkers associated with AMI susceptibility, the profiling comprises steps of: attaching a set of defined antigens to a substrate; obtaining a biological fluid derived specimen from an individual, the specimen containing a specific antibody repertoire; and binding said antibodies of the biological fluid specimen to the attached antigens thereby forming bound antibody antigen complexes; and analyzing results obtained, wherein the presence of the complexes is indicative of AMI.

    摘要翻译: 识别个体中急性心肌梗死(AMI)过程的发展的方法,其中所述方法包括以下步骤:分析与AMI易感性相关的特异性抗体反应性或生物标志物,所述分析包括以下步骤:将一组限定的抗原连接到 底物; 从个体获得生物流体衍生标本,含有特异性抗体库的样本; 并将所述生物流体标本的所述抗体结合至附着的抗原,从而形成结合的抗体抗原复合物; 并分析获得的结果,其中复合物的存在表示AMI。

    Sorting points into neighborhoods (spin)
    13.
    发明申请
    Sorting points into neighborhoods (spin) 审中-公开
    将点分成邻域(旋转)

    公开(公告)号:US20070288540A1

    公开(公告)日:2007-12-13

    申请号:US10591445

    申请日:2006-09-01

    IPC分类号: G06F17/10 G06F7/32

    摘要: A method for an unsupervised analysis of data according to a reordered distance matrix. According to preferred embodiments thereof, the present invention is useful for large scale multidimensional data, more preferably data having at least four dimensions. The present invention is also preferably used for data comprising a plurality of objects characterized by continuous variables, for example variables having a continuum of possible values rather than a plurality of discrete values.

    摘要翻译: 一种根据重排序距离矩阵对数据进行无监督分析的方法。 根据本发明的优选实施例,本发明对于大尺度多维数据是有用的,更优选地具有至少四维尺寸的数据。 本发明还优选地用于包括以连续变量为特征的多个对象的数据,例如具有连续的可能值而不是多个离散值的变量。