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    • 4. 发明申请
    • System and method for biological pathway perturbation analysis
    • 生物通路扰动分析系统与方法
    • US20090299646A1
    • 2009-12-03
    • US12459702
    • 2009-07-07
    • Soheil ShamsBruce Hoff
    • Soheil ShamsBruce Hoff
    • G06F19/00
    • G16B5/00G16B25/00
    • The invention provides system and methods for analyzing the perturbation of one or more biological pathways. In one embodiment, expression values for each of a plurality of genes for one or more experimental conditions may be received. Gene differential regulation values may then be calculated for each of the plurality of genes across each of the one or more experimental conditions. The gene differential regulation values may then be grouped by the biological pathway and experimental condition from which each gene differential regulation value originated yielding one or more pathway-condition data sets. Pathway perturbation values may then for each of the one or more pathway-condition data sets using the gene differential regulation values. These pathway perturbation values may be clustered, used to identify biological pathways or experimental conditions for further analysis, and/or utilized to build a classifier for classifying additional experimental data.
    • 本发明提供了用于分析一个或多个生物学途径的扰动的系统和方法。 在一个实施方案中,可以接收用于一个或多个实验条件的多个基因中的每一个的表达值。 然后可以针对所述一个或多个实验条件中的每一个针对所述多个基因中的每一个计算基因差异调节值。 然后可以通过生物学途径和每个基因差异调节值产生的实验条件将基因差异调节值分组,产生一个或多个途径条件数据集。 然后可以使用基因差异调节值对每个一个或多个途径条件数据集进行路径扰动值。 这些通路扰动值可以是聚类的,用于鉴定用于进一步分析的生物学途径或实验条件,和/或用于建立用于分类附加实验数据的分类器。
    • 5. 发明授权
    • Method for dynamic autocalibration of a multi-sensor tracking system and apparatus incorporating it therein
    • 多传感器跟踪系统的动态自动校准方法及其中包含其的装置
    • US06577976B1
    • 2003-06-10
    • US09397899
    • 1999-09-17
    • Bruce HoffRonald T. Azuma
    • Bruce HoffRonald T. Azuma
    • G01C1738
    • G01C25/00G01C17/38
    • A method for dynamic auto-calibration of a multi-sensor tracking system and apparatus incorporating it therein are presented. The method and apparatus utilize information from complementary sensors, filtered by a simultaneously running filter that combines the sensor data into an estimate of the state of the monitored system to iteratively tune the bias estimate. To track a dynamic system, complimentary or redundant sensors may be combined with a model of the system so that the uncertainty in the estimated state of the dynamic system is less than the noise in the individual sensors. In addition to noise, the sensors may have bias, which has the same value whenever the system is in a particular state. While estimating the actual value of the state, the present invention allows the estimator to determine the bias. The present invention, in its most general embodiment requires complex computations. However, significant simplifications have also been developed, which reduce the necessary computational power to a manageable level. The present invention has been reduced to practice in the context of a head-tracking system employing a plurality of sensors to determine the orientation of a human head.
    • 提出了一种用于动态自动校准多传感器跟踪系统的方法及其中包含的其中的装置。 该方法和装置利用来自互补传感器的信息,由同时运行的滤波器滤波,该滤波器将传感器数据组合成对所监视系统的状态的估计,以迭代地调整偏差估计。 为了跟踪动态系统,互补或冗余传感器可以与系统的模型组合,使得动态系统的估计状态的不确定性小于各个传感器中的噪声。 除了噪声之外,传感器可能具有偏置,每当系统处于特定状态时,其具有相同的值。 在估计状态的实际值的同时,本发明允许估计器确定偏差。 本发明在其最一般实施例中需要复杂的计算。 然而,也已经开发了显着的简化,其将必要的计算能力降低到可管理的水平。 本发明已经被减少到在采用多个传感器来确定人头的取向的头跟踪系统的上下文中进行实践。