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    Methods, systems, and computer program products for modeling and simulating application-level traffic characteristics in a network based on transport and network layer header information
    2.
    发明申请
    Methods, systems, and computer program products for modeling and simulating application-level traffic characteristics in a network based on transport and network layer header information 有权
    方法，系统和计算机程序产品，用于基于传输和网络层头信息建模和模拟网络中的应用级流量特性

    公开(公告)号：US20060083231A1

    公开(公告)日：2006-04-20

    申请号：US11075992

    申请日：2005-03-09

    申请人： Kevin Jeffay ,  Felix Hernandez-Campos ,  Frank Smith ,  Andrew Nobel

    发明人： Kevin Jeffay ,  Felix Hernandez-Campos ,  Frank Smith ,  Andrew Nobel

    IPC分类号： H04L12/56

    CPC分类号： H04L43/026 ,  Y02D50/30

    摘要： Methods, systems, and computer program products are disclosed for determining application-level traffic characteristics in a network based on transport and network layer header information. Transport and network layer header information is collected from packet traffic in a network. Packets are classified to different connections based on the transport and network layer header information. Each connection is modeled using an abstract syntax for characterizing bidirectional interactions between endpoints of each connection and delays between the interactions. Application-level characteristics of the packet traffic are determined based on the modeled connections. Simulated traffic that models application-level traffic behavior in a real network may also be generated by simulating traffic connections based on the modeled connections.

    摘要翻译： 公开了基于传输和网络层头信息来确定网络中的应用级业务特性的方法，系统和计算机程序产品。 传输和网络层头信息是从网络中的数据包流量中收集的。 分组根据传输和网络层头信息分类为不同的连接。 每个连接都使用抽象语法进行建模，用于表征每个连接的端点之间的双向交互以及交互之间的延迟。 基于建模的连接确定分组业务的应用级特性。 通过模拟基于建模的连接的流量连接，也可以生成模拟流量，模拟流量在真实网络中建模应用程序级流量行为。

    GENE EXPRESSION PROFILES TO PREDICT BREAST CANCER OUTCOMES
    3.
    发明申请
    GENE EXPRESSION PROFILES TO PREDICT BREAST CANCER OUTCOMES 有权
    基因表达谱预测乳腺癌的结果

    公开(公告)号：US20110145176A1

    公开(公告)日：2011-06-16

    申请号：US12995450

    申请日：2009-06-01

    申请人： Charles M. Perou ,  Joel S. Parker ,  James Stephen Marron ,  Andrew Nobel ,  Philip S. Bernard ,  Matthew Ellis ,  Elaine Mardis ,  Torsten O. Nielsen ,  Maggie Cheang

    发明人： Charles M. Perou ,  Joel S. Parker ,  James Stephen Marron ,  Andrew Nobel ,  Philip S. Bernard ,  Matthew Ellis ,  Elaine Mardis ,  Torsten O. Nielsen ,  Maggie Cheang

    IPC分类号： G06F15/18 ,  C12Q1/68

    CPC分类号： C12Q1/6886 ,  C12Q2600/106 ,  C12Q2600/112 ,  C12Q2600/158 ,  G06F19/20 ,  G06F19/24

    摘要： Methods for classifying and for evaluating the prognosis of a subject having breast cancer are provided. The methods include prediction of breast cancer subtype using a supervised algorithm trained to stratify subjects on the basis of breast cancer intrinsic subtype. The prediction model is based on the gene expression profile of the intrinsic genes listed in Table 1. This prediction model can be used to accurately predict the intrinsic subtype of a subject diagnosed with or suspected of having breast cancer. Further provided are compositions and methods for predicting outcome or response to therapy of a subject diagnosed with or suspected of having breast cancer. These methods are useful for guiding or determining treatment options for a subject afflicted with breast cancer. Methods of the invention further include means for evaluating gene expression profiles, including microarrays and quantitative polymerase chain reaction assays, as well as kits comprising reagents for practicing the methods of the invention.

    摘要翻译： 提供了分类和评估患有乳腺癌的受试者的预后的方法。 这些方法包括使用训练为基于乳腺癌内在亚型分层受试者的监督算法来预测乳腺癌亚型。 该预测模型基于表1中列出的内在基因的基因表达谱。该预测模型可用于准确预测诊断患有或怀疑患有乳腺癌的受试者的内在亚型。 还提供了用于预测诊断患有或疑似患有乳腺癌的受试者的治疗结果或反应的组合物和方法。 这些方法可用于指导或确定患有乳腺癌的受试者的治疗方案。 本发明的方法还包括用于评价基因表达谱（包括微阵列和定量聚合酶链反应测定）的方法，以及包含用于实施本发明方法的试剂的试剂盒。