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13 条记录 (耗时 0.025 秒)

    Sorting points into neighborhoods (spin)
    1.
    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

    申请人： Ilan Tsafrir ,  Dafna Tsafrir ,  Eytan Domany

    发明人： Ilan Tsafrir ,  Dafna Tsafrir ,  Eytan Domany

    IPC分类号： G06F17/10 ,  G06F7/32

    CPC分类号： G06K9/6217 ,  G16B25/00 ,  G16B40/00 ,  G16B45/00

    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。

    Coupled two-way clustering analysis of data
    5.
    发明授权
    Coupled two-way clustering analysis of data 失效
    耦合双向数据聚类分析

    公开(公告)号：US06965831B2

    公开(公告)日：2005-11-15

    申请号：US10220702

    申请日：2001-03-09

    申请人： Eytan Domany ,  Gad Getz ,  Erel Levine

    发明人： Eytan Domany ,  Gad Getz ,  Erel Levine

    IPC分类号： G01N20060101 ,  G06F19/20 ,  G06F19/24 ,  G06F19/00

    CPC分类号： G06F19/24 ,  G06F19/20 ,  G06K9/6219 ,  Y10S707/99937

    摘要： A novel coupled two-way clustering approach to gene microarray data analysis, for identifying subsets of the genes and samples, such that when one of these items is used to cluster the other, stable and significant partitions emerge. The method of the present invention preferably uses iterative clustering in order to execute this search in an efficient way. This approach is especially suitable for gene microarray data, where the contributions of a variety of biological mechanisms to the gene expression levels are entangled in a large body of experimental data. The method of the present invention was applied to two gene microarray data sets, on colon cancer and leukemia. By identifying relevant subsets of the data and focusing on these subsets, partitions and correlations were found that were masked and hidden when the full data set was used in the analysis.

    摘要翻译： 一种新颖的双向聚类方法，用于基因芯片数据分析，用于识别基因和样本的子集，使得当这些项目中的一个被用于聚集另一个项目时，出现稳定和显着的分区。 本发明的方法优选地使用迭代聚类，以便以有效的方式执行该搜索。 这种方法特别适用于基因微阵列数据，其中各种生物机制对基因表达水平的贡献在大量实验数据中纠缠。 将本发明的方法应用于结肠癌和白血病的两个基因微阵列数据集。 通过识别数据的相关子集并集中在这些子集上，当分析中使用完整的数据集时，发现分区和相关性被掩蔽和隐藏。

    Antigen array and diagnostic uses thereof
    8.
    发明申请
    Antigen array and diagnostic uses thereof 审中-公开
    抗原阵列及其诊断用途

    公开(公告)号：US20050260770A1

    公开(公告)日：2005-11-24

    申请号：US11094142

    申请日：2005-03-31

    申请人： Irun Cohen ,  Francisco Quintana ,  Eytan Domany ,  Gad Elizur ,  Peter Hagedorn

    发明人： Irun Cohen ,  Francisco Quintana ,  Eytan Domany ,  Gad Elizur ,  Peter Hagedorn

    IPC分类号： G01N33/543 ,  G01N33/564

    CPC分类号： G01N33/564

    摘要： A method of diagnosing an immune disease, or a predisposition thereto, in a subject is disclosed. The method comprises determining a capacity of immunoglobulins of the subject to specifically bind each antigen probe of an antigen probe set, wherein the antigen probe set comprises a plurality of antigen probes selected from the group consisting of at least a portion of a cell/tissue structure molecule, at least a portion of a heat shock protein, at least a portion of an immune system molecule, at least a portion of a homopolymeric polypeptide, at least a portion of a hormone, at least a portion of a metabolic enzyme, at least a portion of a microbial antigen, at least a portion of a molluscan antigen, at least a portion of a nucleic acid, at least a portion of a plant antigen, at least a portion of plasma molecule, and at least a portion of a tissue antigen, wherein the capacity is indicative of the immune disease or the predisposition thereto, thereby diagnosing the immune disease, or the predisposition thereto, in the subject.

    摘要翻译： 公开了一种在受试者中诊断免疫疾病或其倾向的方法。 该方法包括确定受试者的免疫球蛋白的能力以特异性结合抗原探针组的每个抗原探针，其中所述抗原探针组包含多个选自下组的抗原探针：至少一部分细胞/组织结构 分子，至少一部分热休克蛋白，至少一部分免疫系统分子，至少一部分均聚多肽，至少一部分激素，代谢酶的至少一部分，至少 一部分微生物抗原，至少一部分软体动物素抗原，至少一部分核酸，至少一部分植物抗原，至少一部分血浆分子和至少一部分组织 抗原，其中所述能力指示免疫疾病或其易感性，从而诊断受试者的免疫疾病或其易感性。

    Coupled two-way clustering analysis of data .
    9.
    发明申请
    Coupled two-way clustering analysis of data . 失效

    公开(公告)号：US20050240563A1

    公开(公告)日：2005-10-27

    申请号：US11154542

    申请日：2005-06-17

    申请人： Eytan Domany ,  Gad Getz ,  Erel Levine

    发明人： Eytan Domany ,  Gad Getz ,  Erel Levine

    IPC分类号： G01N20060101 ,  G06F19/20 ,  G06F19/24 ,  G06F7/00

    CPC分类号： G06F19/24 ,  G06F19/20 ,  G06K9/6219 ,  Y10S707/99937

    摘要： A novel coupled two-way clustering approach to gene microarray data analysis, for identifying subsets of the genes and samples, such that when one of these items is used to cluster the other, stable and significant partitions emerge. The method of the present invention preferably uses iterative clustering in order to execute this search in an efficient way. This approach is especially suitable for gene microarray data, where the contributions of a variety of biological mechanisms to the gene expression levels are entangled in a large body of experimental data. The method of the present invention was applied to two gene microarray data sets, on colon cancer and leukemia. By identifying relevant subsets of the data and focusing on these subsets, partitions and correlations were found that were masked and hidden when the full data set was used in the analysis.

    Coupled two-way clustering analysis of data
    10.
    发明授权
    Coupled two-way clustering analysis of data 失效
    耦合双向数据聚类分析

    公开(公告)号：US07599933B2

    公开(公告)日：2009-10-06

    申请号：US11154542

    申请日：2005-06-17

    申请人： Eytan Domany ,  Gad Getz ,  Erel Levine

    发明人： Eytan Domany ,  Gad Getz ,  Erel Levine

    IPC分类号： G06F17/30 ,  G06F19/00

    CPC分类号： G06F19/24 ,  G06F19/20 ,  G06K9/6219 ,  Y10S707/99937

    摘要： A novel coupled two-way clustering approach to gene microarray data analysis, for identifying subsets of the genes and samples, such that when one of these items is used to cluster the other, stable and significant partitions emerge. The method of the present invention preferably uses iterative clustering in order to execute this search in an efficient way. This approach is especially suitable for gene microarray data, where the contributions of a variety of biological mechanisms to the gene expression levels are entangled in a large body of experimental data. The method of the present invention was applied to two gene microarray data sets, on colon cancer and leukemia. By identifying relevant subsets of the data and focusing on these subsets, partitions and correlations were found that were masked and hidden when the full data set was used in the analysis.

    摘要翻译： 一种新颖的双向聚类方法，用于基因芯片数据分析，用于识别基因和样本的子集，使得当这些项目中的一个被用于聚集另一个项目时，出现稳定和显着的分区。 本发明的方法优选地使用迭代聚类，以便以有效的方式执行该搜索。 这种方法特别适用于基因微阵列数据，其中各种生物机制对基因表达水平的贡献在大量实验数据中纠缠。 将本发明的方法应用于结肠癌和白血病的两个基因微阵列数据集。 通过识别数据的相关子集并集中在这些子集上，当分析中使用完整的数据集时，发现分区和相关性被掩蔽和隐藏。