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1. 发明申请

US20080138799A1 Method and a system for extracting a genotype-phenotype relationship 审中-公开
标题翻译：方法和提取基因型 - 表型关系的系统
公开(公告)号：US20080138799A1
公开(公告)日：2008-06-12
申请号：US11247218
申请日：2005-10-12
申请人： Jie Cheng , Mathaeus Dejori , Martin Stetter , Bernd Wachmann
发明人： Jie Cheng , Mathaeus Dejori , Martin Stetter , Bernd Wachmann
IPC分类号： C12Q1/68 , G06F19/00
CPC分类号： G16B40/00 , G16B20/00
摘要： At least one genotype-phenotype relationship is extracted based on genotype data of a group of genes for different organisms of a group of organisms. A first database stores genotype data of each organism of the group of organisms. For each organism a genotype vector is stored having a vector component for each gene of the group of genes. A second database stores phenotype data of each organism of the group of organisms. For each organism a phenotype vector is stored having a vector component for each phenotype feature of a group of phenotype features of the organism. A calculation unit uses a machine learning process to classify organisms with different phenotypes depending on the genotype vectors stored in the first database and the phenotype vectors stored in the second database to extract the genotype-phenotype relationship.
摘要翻译：基于一组生物体的不同生物体的一组基因的基因型数据提取至少一种基因型 - 表型关系。第一数据库存储该组生物体的每个生物体的基因型数据。对于每个生物体，存储基因型载体，其具有基因组中每个基因的载体成分。第二个数据库存储生物群组中每个生物体的表型数据。对于每个生物体，存储表型载体，其具有用于生物体的一组表型特征的每个表型特征的载体成分。计算单元使用机器学习过程根据存储在第一数据库中的基因型载体和存储在第二数据库中的表型载体来分类具有不同表型的生物体以提取基因型 - 表型关系。

2. 发明申请

US20070088509A1 Method and system for selecting a marker molecule 审中-公开
标题翻译：选择标记分子的方法和系统
公开(公告)号：US20070088509A1
公开(公告)日：2007-04-19
申请号：US11249424
申请日：2005-10-14
申请人： Jie Cheng , Mathaeus Dejori , Marin Stetter , Bernd Wachmann
发明人： Jie Cheng , Mathaeus Dejori , Marin Stetter , Bernd Wachmann
IPC分类号： G06F19/00
CPC分类号： G16B20/00 , G16B40/00
摘要： Method for selecting at least one potential marker molecule indicating an user defined phenotype feature of an organic object, comprising the steps of providing genotype data of genes of a group of organic objects and phenotype data of said group of organic objects, categorizing said genotype data and said phenotype data to generate categorized data of said group of organic objects, relating statistically said phenotype feature with the generated categorized data to extract genes having a strong statistical relationship with said phenotype feature, wherein the extracted genes and proteins corresponding to said extracted genes are selected as potential marker molecules.
摘要翻译：用于选择至少一个指示有机物体的用户限定表型特征的潜在标记分子的方法，包括以下步骤：提供所述有机物质组的基因组的基因型数据和所述有机物体组的表型数据，分类所述基因型数据和所述表型数据用于产生所述有机物体组的分类数据，将所述表型特征与生成的分类数据相关联，以提取与所述表型特征具有强统计关系的基因，其中选择与所述提取的基因相对应的提取的基因和蛋白质作为潜在的标记分子。

3. 发明申请

US20060047616A1 System and method for biological data analysis using a bayesian network combined with a support vector machine 失效
标题翻译：使用与支持向量机组合的贝叶斯网络进行生物数据分析的系统和方法
公开(公告)号：US20060047616A1
公开(公告)日：2006-03-02
申请号：US11208743
申请日：2005-08-22
申请人： Jie Cheng , Chao Yuan , Bernd Wachmann , Claus Neubauer
发明人： Jie Cheng , Chao Yuan , Bernd Wachmann , Claus Neubauer
IPC分类号： G06F19/00 , G06N5/00 , G06N7/02 , G01N33/48 , G06F17/00 , G06F9/44 , G01N33/50 , G06N7/06
CPC分类号： G06N7/005 , G06F19/20 , G06F19/24 , G06K9/6269 , G06K9/6296
摘要： A method for analyzing biological data includes classifying a first set of biological data in a first classifier, classifying a second set of biological data in a second classifier, combining the results of the first classifier with the results of the second classifier, and analyzing the results as a function of the similarity measure of the first classifier and the similarity measure of the second classifier.
摘要翻译：一种用于分析生物数据的方法包括对第一分类器中的第一组生物数据进行分类，将第二分类器中的第二组生物数据分类，将第一分类器的结果与第二分类器的结果相结合，并分析结果作为第一分类器的相似性度量和第二分类器的相似性度量的函数。

4. 发明申请

US20060059112A1 Machine learning with robust estimation, bayesian classification and model stacking 审中-公开
标题翻译：机器学习与鲁棒估计，贝叶斯分类和模型堆叠
公开(公告)号：US20060059112A1
公开(公告)日：2006-03-16
申请号：US11208988
申请日：2005-08-22
申请人： Jie Cheng , Bernd Wachmann , Claus Neubauer
发明人： Jie Cheng , Bernd Wachmann , Claus Neubauer
IPC分类号： G06F15/18
CPC分类号： G06N7/005 , G06K9/623 , G06K9/6296
摘要： A system and method for machine learning are provided, the system including a processor, an adapter for receiving instances for two different classes where each instance has a vector of feature values, a filtering unit for estimating distances between two corresponding instances of the two different classes for each of a plurality of estimators, a selection unit for calculating a corresponding p-value for each distance where the p-value is the statistical significance that the two feature vectors of the corresponding instances have different origins, and an evaluation unit for combining the different estimators by choosing the highest calculated p-value; and the method including receiving instances for two different classes, each instance having a vector of feature values, estimating distances between two corresponding instances of the two different classes for each of several of estimators, calculating a corresponding p-value for each distance, where the p-value is the statistical significance that the two feature vectors of the corresponding instances have different origins, and combining the different estimators by choosing the highest calculated p-value.
摘要翻译：提供了一种用于机器学习的系统和方法，所述系统包括处理器，用于接收两个不同类别的实例的适配器，每个实例具有特征值向量，滤波单元，用于估计两个不同类别的两个对应实例之间的距离对于多个估计器中的每一个，选择单元，用于计算每个距离的相应p值，其中p值是相应实例的两个特征向量具有不同来源的统计重要性;以及评估单元，通过选择最高计算的p值来估计不同的估计值; 并且所述方法包括接收两个不同类别的实例，每个实例具有特征值向量，估计几个估计器中的每一个的两个不同类别的两个对应实例之间的距离，计算每个距离的相应p值， p值是相应实例的两个特征向量具有不同来源的统计意义，并且通过选择最高计算的p值来组合不同的估计器。

5. 发明授权

US07240042B2 System and method for biological data analysis using a bayesian network combined with a support vector machine 失效
标题翻译：使用与支持向量机组合的贝叶斯网络进行生物数据分析的系统和方法
公开(公告)号：US07240042B2
公开(公告)日：2007-07-03
申请号：US11208743
申请日：2005-08-22
申请人： Jie Cheng , Chao Yuan , Bernd Wachmann , Claus Neubauer
发明人： Jie Cheng , Chao Yuan , Bernd Wachmann , Claus Neubauer
IPC分类号： G06N5/00
CPC分类号： G06N7/005 , G06F19/20 , G06F19/24 , G06K9/6269 , G06K9/6296
摘要： A method for analyzing biological data includes classifying a first set of biological data in a first classifier, classifying a second set of biological data in a second classifier, combining the results of the first classifier with the results of the second classifier, and analyzing the results as a function of the similarity measure of the first classifier and the similarity measure of the second classifier.
摘要翻译：一种用于分析生物数据的方法包括对第一分类器中的第一组生物数据进行分类，将第二分类器中的第二组生物数据分类，将第一分类器的结果与第二分类器的结果相结合，并分析结果作为第一分类器的相似性度量和第二分类器的相似性度量的函数。

6. 发明申请

US20070123773A1 Method and Apparatus for Classifying Tissue Using Image Data 有权
标题翻译：使用图像数据分类组织的方法和装置
公开(公告)号：US20070123773A1
公开(公告)日：2007-05-31
申请号：US11426329
申请日：2006-06-26
申请人： Thomas Fuchs , Bernd Wachmann , Claus Neubauer , Jie Cheng
发明人： Thomas Fuchs , Bernd Wachmann , Claus Neubauer , Jie Cheng
IPC分类号： A61B5/05
CPC分类号： G06T7/0012 , G06K9/00147 , G06K9/6296 , G06T2207/30024
摘要： Disclosed is a technique for classifying tissue based on image data. A plurality of tissue parameters are extracted from image data (e.g., magnetic resonance image data) to be classified. The parameters are preprocessed, and the tissue is classified using a classification algorithm and the preprocessed parameters. In one embodiment, the parameters are preprocessed by discretization of the parameters. The classification algorithm may use a decision model for the classification of the tissue, and the decision model may be generated by performing a machine learning algorithm using preprocessed tissue parameters in a training set of data. In one embodiment, the machine learning algorithm generates a Bayesian network. The image data used may be magnetic resonance image data that was obtained before and after the intravenous administration of lymphotropic superparamagnetic nanoparticles.
摘要翻译：公开了一种基于图像数据对组织进行分类的技术。从要分类的图像数据（例如磁共振图像数据）中提取多个组织参数。对参数进行预处理，使用分类算法和预处理参数对组织进行分类。在一个实施例中，参数通过离散化参数进行预处理。分类算法可以使用用于组织分类的决策模型，并且可以通过在训练数据集中执行使用预处理的组织参数的机器学习算法来生成决策模型。在一个实施例中，机器学习算法生成贝叶斯网络。使用的图像数据可以是在静脉内施用嗜热超顺磁性纳米颗粒之前和之后获得的磁共振图像数据。

7. 发明授权

US07720267B2 Method and apparatus for classifying tissue using image data 有权
标题翻译：使用图像数据分类组织的方法和装置
公开(公告)号：US07720267B2
公开(公告)日：2010-05-18
申请号：US11426329
申请日：2006-06-26
申请人： Thomas Fuchs , Bernd Wachmann , Claus Neubauer , Jie Cheng
发明人： Thomas Fuchs , Bernd Wachmann , Claus Neubauer , Jie Cheng
IPC分类号： G06K9/00 , A61B5/05
CPC分类号： G06T7/0012 , G06K9/00147 , G06K9/6296 , G06T2207/30024
摘要： Disclosed is a technique for classifying tissue based on image data. A plurality of tissue parameters are extracted from image data (e.g., magnetic resonance image data) to be classified. The parameters are preprocessed, and the tissue is classified using a classification algorithm and the preprocessed parameters. In one embodiment, the parameters are preprocessed by discretization of the parameters. The classification algorithm may use a decision model for the classification of the tissue, and the decision model may be generated by performing a machine learning algorithm using preprocessed tissue parameters in a training set of data. In one embodiment, the machine learning algorithm generates a Bayesian network. The image data used may be magnetic resonance image data that was obtained before and after the intravenous administration of lymphotropic superparamagnetic nanoparticles.
摘要翻译：公开了一种基于图像数据对组织进行分类的技术。从要分类的图像数据（例如磁共振图像数据）中提取多个组织参数。对参数进行预处理，使用分类算法和预处理参数对组织进行分类。在一个实施例中，参数通过离散化参数进行预处理。分类算法可以使用用于组织分类的决策模型，并且可以通过在训练数据集中执行使用预处理的组织参数的机器学习算法来生成决策模型。在一个实施例中，机器学习算法生成贝叶斯网络。使用的图像数据可以是在静脉内施用嗜热超顺磁性纳米颗粒之前和之后获得的磁共振图像数据。

8. 发明授权

US08703682B2 Lubrication and lubricating oil compositions 有权
标题翻译：润滑油和润滑油组合物
公开(公告)号：US08703682B2
公开(公告)日：2014-04-22
申请号：US12608039
申请日：2009-10-29
申请人： Joseph P. Hartley , Robert G. Rowland , Jie Cheng , Jacob Emert , Joseph Stieber
发明人： Joseph P. Hartley , Robert G. Rowland , Jie Cheng , Jacob Emert , Joseph Stieber
IPC分类号： C10M133/12 , C10M141/10 , C07C211/00
CPC分类号： C10M133/12 , C07C211/51 , C10M2207/026 , C10M2215/066 , C10M2223/045 , C10N2210/06 , C10N2220/021 , C10N2220/028 , C10N2230/12 , C10N2230/36 , C10N2230/45 , C10N2230/52 , C10N2240/102
摘要： Tetra-alkylated phenylenediamine compounds useful as ashless TBN sources for lubricating oil compositions that are compatible with fluoroelastomeric engine seal materials and meet copper corrosion requirements, and lubricating oil compositions containing such phenylenediamine compounds.
摘要翻译：可用作与含氟弹性体发动机密封材料相容并满足铜腐蚀要求的润滑油组合物的无灰TBN源的四烷基化苯二胺化合物和含有这种苯二胺化合物的润滑油组合物。

9. 发明授权

US07585184B2 Plug connector with improved cable arrangement 失效
标题翻译：插头连接器具有改进的电缆布置
公开(公告)号：US07585184B2
公开(公告)日：2009-09-08
申请号：US12012620
申请日：2008-02-04
申请人： Ping-Sheng Su , Jie Cheng , Hong-Lei Fan
发明人： Ping-Sheng Su , Jie Cheng , Hong-Lei Fan
IPC分类号： H01R9/05
CPC分类号： H01R27/02 , H01R13/567
摘要： A plug connector includes an insulative housing (1) including a base portion (10) and a mating portion (12) extending from the base portion in a first direction, a number of contacts (2) received in the insulative housing, and a number of wires (3) including a number of signal wires (31) and a number of power wires (32) respectively electrically connecting with the contacts. The signal wires and the power wires are both arranged to extend along a second direction perpendicular to the first direction of the mating portion. The power wires are arranged into two groups respectively symmetrically arranged relative to the base portion along the second direction and electrically connect to the same contacts.
摘要翻译：插头连接器包括绝缘壳体（1），其包括基部（10）和从第一方向从基部延伸的配合部分（12），接纳在绝缘壳体中的多个触点（2）包括分别与触点电连接的多个信号线（31）和多个电源线（32）的电线（3）。信号线和电源线均布置成沿着垂直于配合部分的第一方向的第二方向延伸。电源线被布置成沿着第二方向相对于基部对称布置的两组，并且电连接到相同的触点。

10. 发明申请

US20080188136A1 Plug connector with improved cable arrangement 失效
标题翻译：插头连接器具有改进的电缆布置
公开(公告)号：US20080188136A1
公开(公告)日：2008-08-07
申请号：US12012620
申请日：2008-02-04
申请人： Ping-Sheng Su , Jie Cheng , Hong-Lei Fan
发明人： Ping-Sheng Su , Jie Cheng , Hong-Lei Fan
IPC分类号： H01R24/00
CPC分类号： H01R27/02 , H01R13/567
摘要： A plug connector includes an insulative housing (1) including a base portion (10) and a mating portion (12) extending from the base portion in a first direction, a number of contacts (2) received in the insulative housing, and a number of wires (3) including a number of signal wires (31) and a number of power wires (32) respectively electrically connecting with the contacts. The signal wires and the power wires are both arranged to extend along a second direction perpendicular to the first direction of the mating portion. The power wires are arranged into two groups respectively symmetrically arranged relative to the base portion along the second direction and electrically connect to the same contacts.
摘要翻译：插头连接器包括绝缘壳体（1），其包括基部（10）和从第一方向从基部延伸的配合部分（12），接纳在绝缘壳体中的多个触点（2）包括分别与触点电连接的多个信号线（31）和多个电源线（32）的电线（3）。信号线和电源线均布置成沿着垂直于配合部分的第一方向的第二方向延伸。电源线被布置成沿着第二方向相对于基部对称布置的两组，并且电连接到相同的触点。

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