Methods for analysis of large sets of multiparameter data
    5.
    发明授权
    Methods for analysis of large sets of multiparameter data 失效
    大量多参数数据分析方法

    公开(公告)号:US06178382B1

    公开(公告)日:2001-01-23

    申请号:US09103284

    申请日:1998-06-23

    IPC分类号: G01N3350

    CPC分类号: G06T11/206 G01N33/50

    摘要: This invention relates a series of methods for the visual representation and subsequent application of analyses on complex data sets. In particular, this invention is useful for the analysis of multiple sample sets that share common features, for which similar types of analyses are desired. Three concepts are embodied to aid in this analysis: “Functional equivalence by Algorithmic Polymorphism” (FEAP), in which an analysis algorithm is abstracted through the use of an associated name; a genealogical metaphor for the representation of successive or parallel analysis steps, in which “families” of analyses can be easily copied between different sample data sets; and batch analysis through the creation of multi-sample analysis surrogates (MSAS), which are groups of samples wherein analyses applied to an MSAS is then applied to every sample within the MSAS group. This invention has particular utility in the analysis of data derived from flow cytometers, the analysis of complex demographic data, and other similar data sets.

    摘要翻译: 本发明涉及用于在复杂数据集上的分析的视觉表示和后续应用的一系列方法。 特别地,本发明对于分析共享共同特征的多个样本集是有用的,对于类似的分析类型是期望的。 三个概念被体现为帮助分析:“通过算法多态性的功能等同”(FEAP),其中分析算法通过使用关联名称被抽象; 用于表示连续或平行分析步骤的系谱比喻,其中分析的“家庭”可以容易地在不同样本数据集之间复制; 并通过创建多样本分析代理(MSAS)进行批量分析,这些代码是MSAS组中每个样本的样本组,其中分析应用于MSAS。 本发明在分析流式细胞仪获得的数据,复杂人口统计学数据分析和其他类似数据集方面具有特别的实用价值。

    METHOD AND SYSTEM FOR DATA ARCHIVING
    6.
    发明申请
    METHOD AND SYSTEM FOR DATA ARCHIVING 有权
    数据存档的方法和系统

    公开(公告)号:US20100161561A1

    公开(公告)日:2010-06-24

    申请号:US12470215

    申请日:2009-05-21

    IPC分类号: G06F12/16 G06F17/30 G06F15/16

    CPC分类号: G06F17/30091

    摘要: Disclosed is a method and system for archiving data. A server computer (or any computing device) receives data transmitted over a network from a client computer, wherein at least some of the data was previously collected by a scientific instrument during an experiment. After receiving the data, the server computer updates (e.g., creates) an index for the received data, archives the received data, and automatically transmits a notification to the client computer that the received data has been archived.

    摘要翻译: 公开了一种用于归档数据的方法和系统。 服务器计算机(或任何计算设备)从客户计算机接收通过网络发送的数据,其中至少一些数据在实验期间由科学仪器先前收集。 在接收到数据之后,服务器计算机更新(例如,创建)接收到的数据的索引,归档所接收的数据,并且自动向客户端计算机发送已经存档了所接收的数据的通知。

    Method and system for data archiving
    7.
    发明授权
    Method and system for data archiving 有权
    数据归档方法和系统

    公开(公告)号:US08548950B2

    公开(公告)日:2013-10-01

    申请号:US12470215

    申请日:2009-05-21

    IPC分类号: G06F17/30

    CPC分类号: G06F17/30091

    摘要: Disclosed is a method and system for archiving data. A server computer (or any computing device) receives data transmitted over a network from a client computer, wherein at least some of the data was previously collected by a scientific instrument during an experiment. After receiving the data, the server computer updates (e.g., creates) an index for the received data, archives the received data, and automatically transmits a notification to the client computer that the received data has been archived.

    摘要翻译: 公开了一种用于归档数据的方法和系统。 服务器计算机(或任何计算设备)从客户计算机接收通过网络发送的数据,其中至少一些数据在实验期间由科学仪器先前收集。 在接收到数据之后,服务器计算机更新(例如,创建)接收到的数据的索引,归档所接收的数据,并且自动向客户端计算机发送已经存档了所接收的数据的通知。

    Quantitative Comparison of Sample Populations Using Earth Mover's Distance
    9.
    发明申请
    Quantitative Comparison of Sample Populations Using Earth Mover's Distance 审中-公开
    使用地球移动器距离的样本群体的定量比较

    公开(公告)号:US20120173199A1

    公开(公告)日:2012-07-05

    申请号:US13342722

    申请日:2012-01-03

    IPC分类号: G06F17/18

    摘要: A method and apparatus for quantitatively measuring differences between portions of a multivariate, multi-dimensional sample distribution, may comprise summarizing the data by dividing the data into clusters each having a signature representative of a position of the cluster and a fraction of the entire distribution within the cluster; matching a plurality of first supplier signatures to a respective one of a plurality of second receiver signatures using a cost factor indicative of the separation between first signature elements and second signature elements; and determining a measurement of the work required to transform the first signature to the second signature. The step of determining a measurement of the work may comprise applying the earth mover distance (“EMD”) algorithm between the first signature or elements of the first signature and the respective second signatures or elements of the respective second signature.

    摘要翻译: 一种用于定量测量多变量多维样本分布的部分之间的差异的方法和装置可以包括通过将数据划分成各自具有代表簇的位置的签名的代码和在整个分布内部的整个分布的一部分来总结数据 集群; 使用指示第一签名元素和第二签名元素之间的间隔的代价因子将多个第一供应商签名与多个第二接收者签名中的相应一个签名相匹配; 以及确定将所述第一签名转换为所述第二签名所需的工作的度量。 确定作业的测量的步骤可以包括在第一签名或第一签名的元素与相应的第二签名或相应的第二签名的元素之间应用土方搬运者距离(“EMD”)算法。

    Prostate cancer glycan markers and autoantibody signatures
    10.
    发明授权
    Prostate cancer glycan markers and autoantibody signatures 有权
    前列腺癌聚糖标记物和自身抗体签名

    公开(公告)号:US07981625B2

    公开(公告)日:2011-07-19

    申请号:US12421964

    申请日:2009-04-10

    IPC分类号: G01N33/53

    摘要: Disclosed are methods for probing the immunogenic sugar moieties of prostate cancer cells. The methods detect a number of glyco-epitopes that are highly and differentially expressed among prostate cancers of various Gleason grades. The glyco-epitopes exist on the surfaces of prostate cells. The methods also comprise the detection of autoantibodies in prostate cancer subjects. The antibodies bound to a glyco-motif of N-glycans that is normally “cryptic.” This target is highly expressed in prostate cancers. Lectins and antibodies that detect these glyco-epitopes that expressed in prostate cancer tissues include Euonymus europaeus lectin (EEL); Psophocarpus Tetragonolobus Lectin-I (PTL-I); Griffonia Simplicifolia Lectin-I-A4 (GSL-I-A4); Griffonia Simplicifolia Lectin-I-B4 (GSL-I-B4); Sambucus nigra I agglutinin (SNA-I; Phaseolus vulgaris-L (PHA-L; Galanthus nivalis agglutinin (GNA); Narcissus pseudonarcissus agglutinin (NPA); Artocarpus integrifolia agglutinin (Jacalin); and mAb TM10 (IgM).

    摘要翻译: 公开了用于探测前列腺癌细胞的免疫原性糖部分的方法。 该方法检测了在各种Gleason等级的前列腺癌中高度差异表达的糖基表位。 糖表位存在于前列腺细胞表面。 该方法还包括检测前列腺癌受试者中的自身抗体。 抗体结合通常是“神秘的”的N-聚糖的糖基序。 这个目标在前列腺癌中高度表达。 检测在前列腺癌组织中表达的这些糖表位的凝集素和抗体包括卫矛神经凝集素(EEL); 茯苓四倍体凝集素-I(PTL-I); Griffonia Simplicifolia果胶-I-A4(GSL-I-A4); Griffonia Simplicifolia凝集素-I-B4(GSL-I-B4); 黑曲霉I凝集素(SNA-1); 菜豆提取物(PHA-L); 山茱萸凝集素(GNA); 水仙假水凝素(NPA); Artocarpus integrifolia凝集素(Jacalin); 和mAb TM10(IgM)。