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    METHOD OF SURFACE PLASMON RESONANCE (SPR) TECHNOLOGY TO DETECT GENOMIC DISORDERS FOR PRENATAL DIAGNOSIS
    61.
    发明申请
    METHOD OF SURFACE PLASMON RESONANCE (SPR) TECHNOLOGY TO DETECT GENOMIC DISORDERS FOR PRENATAL DIAGNOSIS 审中-公开
    表面等离子共振（SPR）技术检测基因治疗疾病进行临床诊断的方法

    公开(公告)号：US20100279422A1

    公开(公告)日：2010-11-04

    申请号：US12438333

    申请日：2007-08-14

    申请人： Zhong Chen ,  Ning Liu

    发明人： Zhong Chen ,  Ning Liu

    IPC分类号： G01N33/50 ,  G01N21/21

    CPC分类号： G01N33/54373 ,  C12Q1/6883 ,  G01N21/553 ,  G01N33/553 ,  G01N2800/385 ,  Y10T436/143333

    摘要： The present invention discloses using SPR technology to prenatally detect specific DNA loss or gain related to some genomic disorders. An efficient formula to make a mixed SAM that can greatly enhance the immobilization ability of the metal surface in SPR based techniques, which is good for the immobilization of DNA markers used for the identification of chromosome numerical abnormalities (such as chromosomes 13, 18, 21, X and Y related anomalies) and chromosome microdeletion syndromes (such as DiGeorge syndrome, etc) is also disclosed.

    摘要翻译： 本发明公开了使用SPR技术预先检测与某些基因组紊乱相关的特定DNA损失或增益。 制备混合SAM的有效配方可以大大增强金属表面在基于SPR的技术中的固定能力，这有助于固定用于鉴定染色体数值异常的DNA标记（如染色体13,18,21 ，X和Y相关异常）和染色体微缺失综合征（如DiGeorge综合征等）也被公开。

    Scalable Parallel User Clustering in Discrete Time Window
    62.
    发明申请
    Scalable Parallel User Clustering in Discrete Time Window 审中-公开
    离散时间窗口中可扩展的并行用户群集

    公开(公告)号：US20100169258A1

    公开(公告)日：2010-07-01

    申请号：US12346881

    申请日：2008-12-31

    申请人： Jun Yan ,  Ning Liu ,  Lei Ji ,  Zheng Chen

    发明人： Jun Yan ,  Ning Liu ,  Lei Ji ,  Zheng Chen

    IPC分类号： G06N5/02 ,  G06F7/06 ,  G06F17/30

    CPC分类号： G06F16/9535

    摘要： Described is an internet user clustering technology, such as useful in behavioral targeting, in which users are clustered together based on MinHash computations that produce signatures corresponding to users' internet-related activities. In one aspect, users are clustered together based on commonality of signatures between each set of signatures associated with each user. The signature sets and/or clusters may be associated with timestamps, whereby clusters may be determined for a given discrete time window or set of discrete time windows. To facilitate efficient processing, existing, prior signature sets of a user may be incrementally updated (e.g., daily), and/or the MinHash computations for users are partitioned among parallel computing machines. The timestamps may be used to selectively determine a cluster within a continuous time, a time window or set of time windows.

    摘要翻译： 描述了一种互联网用户聚类技术，例如在行为定位中是有用的，其中基于MinHash计算将用户聚集在一起，该计算产生对应于用户的互联网相关活动的签名。 在一个方面，用户基于与每个用户相关联的每组签名之间的签名的共性来聚集在一起。 签名集合和/或聚类可以与时间戳相关联，由此可以针对给定的离散时间窗口或一组离散时间窗口确定聚类。 为了促进有效的处理，用户的现有的先前签名集可以被递增地更新（例如，每天），和/或用于用户的MinHash计算在并行计算机之间被划分。 时间戳可以用于在连续时间，时间窗口或一组时间窗口内选择性地确定群集。

    Forecasting search queries based on time dependencies
    64.
    发明授权
    Forecasting search queries based on time dependencies 有权
    基于时间依赖性预测搜索查询

    公开(公告)号：US07685100B2

    公开(公告)日：2010-03-23

    申请号：US11770462

    申请日：2007-06-28

    申请人： Ning Liu ,  Jun Yan ,  Benyu Zhang ,  Zheng Chen ,  Jian Wang

    发明人： Ning Liu ,  Jun Yan ,  Benyu Zhang ,  Zheng Chen ,  Jian Wang

    IPC分类号： G06F17/30

    CPC分类号： G06Q30/02

    摘要： Techniques for analyzing and modeling the frequency of queries are provided by a query analysis system. A query analysis system analyzes frequencies of a query over time to determine whether the query is time-dependent or time-independent. The query analysis system forecasts the frequency of time-dependent queries based on their periodicities. The query analysis system forecasts the frequency of time-independent queries based on causal relationships with other queries. To forecast the frequency of time-independent queries, the query analysis system analyzes the frequency of a query over time to identify significant increases in the frequency, which are referred to as “query events” or “events.” The query analysis system forecasts frequencies of time-independent queries based on queries with events that tend to causally precede events of the query to be forecasted.

    摘要翻译： 用于分析和建模查询频率的技术由查询分析系统提供。 查询分析系统分析查询的频率，以确定查询是时间依赖还是时间无关。 查询分析系统根据其周期性预测与时间相关的查询的频率。 查询分析系统根据与其他查询的因果关系预测与时间无关的查询的频率。 为了预测时间无关查询的频率，查询分析系统随时间分析查询的频率，以识别频率的显着增加，这被称为“查询事件”或“事件”。查询分析系统预测频率 基于具有事件倾向于在要预测的查询的事件之前的查询的与时间无关的查询。

    METHOD TO DETECT TUMOR MARKERS AND DIAGNOSIS OF UNDIFFERENTIATED TUMORS
    66.
    发明申请
    METHOD TO DETECT TUMOR MARKERS AND DIAGNOSIS OF UNDIFFERENTIATED TUMORS 审中-公开
    检测肿瘤标志物和诊断不良肿瘤的方法

    公开(公告)号：US20100047815A1

    公开(公告)日：2010-02-25

    申请号：US12441357

    申请日：2007-08-07

    申请人： Zhong Chen ,  Ning Liu ,  Yancun Li

    发明人： Zhong Chen ,  Ning Liu ,  Yancun Li

    IPC分类号： G01N33/53

    CPC分类号： G01N33/57492 ,  G01N33/54373

    摘要： This invention discloses using SPR technology to simultaneously and quantitatively measure the concentrations of different tumor markers in a protein sample extracted from tumor tissue, which can be used for the diagnosis of undifferentiated tumors. It also discloses an efficient formula to make a mixed SAM that can greatly enhance the immobilization ability of the metal surface in SPR based techniques, which is good for the immobilization of monoclonal antibodies used for detecting tumor markers in a tumor tissue sample and for the diagnosis of undifferentiated tumors.

    摘要翻译： 本发明公开了使用SPR技术同时并定量测定从肿瘤组织提取的蛋白质样品中不同肿瘤标志物的浓度，可用于诊断未分化肿瘤。 它还公开了一种制备混合SAM的有效配方，可以大大增强金属表面在基于SPR的技术中的固定能力，这有利于固定用于肿瘤标志物在肿瘤组织样品中检测的单克隆抗体和诊断 的未分化肿瘤。

    CLUSTERING AGGREGATOR FOR RSS FEEDS
    67.
    发明申请
    CLUSTERING AGGREGATOR FOR RSS FEEDS 有权
    聚合聚合器RSS信息

    公开(公告)号：US20090327320A1

    公开(公告)日：2009-12-31

    申请号：US12146481

    申请日：2008-06-26

    申请人： Jun Yan ,  Ning Liu ,  Lei Ji ,  Zheng Chen ,  Jian Wang

    发明人： Jun Yan ,  Ning Liu ,  Lei Ji ,  Zheng Chen ,  Jian Wang

    IPC分类号： G06F17/30

    CPC分类号： G06F17/30705

    摘要： A method for merging really simple syndication (RSS) feeds. Stories containing one or more terms may be merged into one or more clusters based on one or more links between the stories. A cluster frequency with which the terms occur in each cluster may be determined. A diameter for each cluster may be determined. A cluster that is most similar to one of the clusters may be determined based on the cluster frequency. The most similar cluster with the one of the clusters may be determined based on each diameter, and each cluster frequency.

    摘要翻译： 一种合并真正简单的联合（RSS）馈送的方法。 包含一个或多个术语的故事可以基于故事之间的一个或多个链接合并成一个或多个集群。 可以确定在每个簇中出现术语的聚类频率。 可以确定每个簇的直径。 可以基于群集频率来确定与簇之一最相似的群集。 可以基于每个直径和每个聚类频率来确定具有一个簇的最相似的簇。

    METHOD FOR THE IDENTIFICATION OF HUMAN IMMUNODEFICIENCY VIRUS RELATED ANTIBODIES IN BLOOD
    69.
    发明申请
    METHOD FOR THE IDENTIFICATION OF HUMAN IMMUNODEFICIENCY VIRUS RELATED ANTIBODIES IN BLOOD 失效
    人体免疫缺陷病毒相关抗体检测方法

    公开(公告)号：US20090239766A1

    公开(公告)日：2009-09-24

    申请号：US12441529

    申请日：2007-08-27

    申请人： Zhong Chen ,  Ning Liu ,  Yancun Li

    发明人： Zhong Chen ,  Ning Liu ,  Yancun Li

    IPC分类号： C40B30/04 ,  C40B40/04

    CPC分类号： G01N33/56988 ,  G01N33/54353 ,  G01N33/54373 ,  G01N2333/16 ,  G01N2469/20 ,  Y10S436/805

    摘要： This invention discloses using SPR technology to simultaneously and qualitatively measure the presence of HIV related antibodies in a serum sample for the diagnosis of HIV infection. It also discloses an efficient formula to make a mixed SAM that can greatly enhance the immobilization ability of the metal surface in SPR based techniques, which is good for the immobilization of HIV related antigens used for the diagnosis of HIV infection.

    摘要翻译： 本发明公开了使用SPR技术同时且定性地测量血清样品中HIV相关抗体的存在，用于诊断HIV感染。 它还公开了一种制备混合SAM的有效配方，可以大大增强金属表面在基于SPR的技术中的固定能力，这对于用于诊断HIV感染的HIV相关抗原的固定是有利的。

    Document characterization using a tensor space model
    70.
    发明授权
    Document characterization using a tensor space model 失效
    文档表征使用张量空间模型

    公开(公告)号：US07529719B2

    公开(公告)日：2009-05-05

    申请号：US11378095

    申请日：2006-03-17

    申请人： Ning Liu ,  Benyu Zhang ,  Jun Yan ,  Zheng Chen ,  Hua-Jun Zeng ,  Jian Wang

    发明人： Ning Liu ,  Benyu Zhang ,  Jun Yan ,  Zheng Chen ,  Hua-Jun Zeng ,  Jian Wang

    IPC分类号： G06N5/00

    CPC分类号： G06N5/02 ,  G06F17/30705

    摘要： Computer-readable media having computer-executable instructions and apparatuses categorize documents or corpus of documents. A Tensor Space Model (TSM), which models the text by a higher-order tensor, represents a document or a corpus of documents. Supported by techniques of multilinear algebra, TSM provides a framework for analyzing the multifactor structures. TSM is further supported by operations and presented tools, such as the High-Order Singular Value Decomposition (HOSVD) for a reduction of the dimensions of the higher-order tensor. The dimensionally reduced tensor is compared with tensors that represent possible categories. Consequently, a category is selected for the document or corpus of documents. Experimental results on the dataset for 20 Newsgroups suggest that TSM is advantageous to a Vector Space Model (VSM) for text classification.

    摘要翻译： 具有计算机可执行指令和设备的计算机可读介质将文档或语料库分类。 张量空间模型（TSM），其通过高阶张量对文本进行建模，表示文档或文档语料库。 由多线代数技术支持，TSM为多因素结构分析提供了框架。 TSM还受到操作和提出的工具的支持，例如用于降低高阶张量尺寸的高阶奇异值分解（HOSVD）。 将尺寸减小的张量与表示可能类别的张量进行比较。 因此，文档或文档的语料库选择一个类别。 20个新闻组的数据集的实验结果表明，TSM对于文本分类的向量空间模型（VSM）是有利的。