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1.发明授权Methods for analyzing high dimensional data for classifying, diagnosing, prognosticating, and/or predicting diseases and other biological states 有权分析高维数据以分类，诊断，预测和/或预测疾病和其他生物状态的方法公开(公告)号：US07783431B2
公开(公告)日：2010-08-24
申请号：US11928901
申请日：2007-10-30
申请人： Javed Khan , Markus Ringner , Carsten Peterson , Paul Meltzer
发明人： Javed Khan , Markus Ringner , Carsten Peterson , Paul Meltzer
CPC分类号： G06F19/20 , C12Q1/6886 , G06F19/12 , G06F19/24
摘要： A method of diagnosing, predicting, or prognosticating about a disease that includes obtaining experimental data, wherein the experimental data is high dimensional data, filtering the data, reducing the dimensionality of the data through use of one or more methods, training a supervised pattern recognition method, ranking individual data points from the data, wherein the ranking is dependent on the outcome of the supervised pattern recognition method, choosing multiple data points from the data, wherein the choice is based on the relative ranking of the individual data points, and using the multiple data points to determine if an unknown set of experimental data indicates a diseased condition, a predilection for a diseased condition, or a prognosis about a diseased condition.
摘要翻译： 一种诊断，预测或预测疾病的方法，包括获得实验数据，其中实验数据是高维数据，过滤数据，通过使用一种或多种方法降低数据的维度，训练监督模式识别 方法，从数据中排列各个数据点，其中排序取决于监督模式识别方法的结果，从数据中选择多个数据点，其中所述选择基于各个数据点的相对排名，并且使用 多个数据点以确定未知的一组实验数据是否表示疾病状况，患病条件的偏好或关于患病状况的预后。
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公开(公告)号：US08263759B2
公开(公告)日：2012-09-11
申请号：US11981502
申请日：2007-10-30
申请人： Javed Khan , Markus Ringner , Carsten Peterson , Paul Meltzer
发明人： Javed Khan , Markus Ringner , Carsten Peterson , Paul Meltzer
摘要： A method of diagnosing a disease that includes obtaining experimental data on gene selections. The gene selection functions to characterize a cancer when the expression of that gene selection is compared to the identical selection from a noncancerous cell or a different type of cancer cell. The invention also includes a method of targeting at least one product of a gene that includes administration of a therapeutic agent. The invention also includes the use of a gene selection for diagnosing a cancer.
摘要翻译： 一种诊断疾病的方法，包括获得关于基因选择的实验数据。 当将该基因选择的表达与来自非癌细胞或不同类型的癌细胞的相同选择进行比较时，基因选择用于表征癌症。 本发明还包括靶向至少一种包括施用治疗剂的基因产物的方法。 本发明还包括使用基因选择来诊断癌症。
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3.发明申请Selections of genes and methods of using the same for diagnosis and for targeting the therapy of select cancers 失效基因的选择和使用该基因的方法用于诊断和靶向选择癌症的治疗公开(公告)号：US20080181896A1
公开(公告)日：2008-07-31
申请号：US11981502
申请日：2007-10-30
申请人： Javed Khan , Markus Ringner , Carsten Peterson , Paul Meltzer
发明人： Javed Khan , Markus Ringner , Carsten Peterson , Paul Meltzer
IPC分类号： A61K31/70 , C12Q1/68 , A61K39/00 , G01N33/574 , C40B60/12 , A61P43/00 , C12M1/00 , A61K38/00 , A61K39/395
摘要： A method of diagnosing a disease that includes obtaining experimental data on gene selections. The gene selection functions to characterize a cancer when the expression of that gene selection is compared to the identical selection from a noncancerous cell or a different type of cancer cell. The invention also includes a method of targeting at least one product of a gene that includes administration of a therapeutic agent. The invention also includes the use of a gene selection for diagnosing a cancer.
摘要翻译： 一种诊断疾病的方法，包括获得关于基因选择的实验数据。 当将该基因选择的表达与来自非癌细胞或不同类型的癌细胞的相同选择进行比较时，基因选择用于表征癌症。 本发明还包括靶向至少一种包括施用治疗剂的基因产物的方法。 本发明还包括使用基因选择来诊断癌症。
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公开(公告)号：US08620592B2
公开(公告)日：2013-12-31
申请号：US13285687
申请日：2011-10-31
申请人： Javed Khan , Markus Ringner , Carsten Peterson , Paul Meltzer
发明人： Javed Khan , Markus Ringner , Carsten Peterson , Paul Meltzer
CPC分类号： G06F19/20 , C12Q1/6886 , G06F19/12 , G06F19/24
摘要： A method of diagnosing, predicting, or prognosticating about a disease that includes obtaining experimental data, wherein the experimental data is high dimensional data, filtering the data, reducing the dimensionality of the data through use of one or more methods, training a supervised pattern recognition method, ranking individual data points from the data, wherein the ranking is dependent on the outcome of the supervised pattern recognition method, choosing multiple data points from the data, wherein the choice is based on the relative ranking of the individual data points, and using the multiple data points to determine if an unknown set of experimental data indicates a diseased condition, a predilection for a diseased condition, or a prognosis about a diseased condition.
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5.发明申请公开(公告)号：US20090035766A1
公开(公告)日：2009-02-05
申请号：US11928901
申请日：2007-10-30
申请人： Javed Khan , Markus Ringner , Carsten Peterson , Paul Meltzer
发明人： Javed Khan , Markus Ringner , Carsten Peterson , Paul Meltzer
CPC分类号： G06F19/20 , C12Q1/6886 , G06F19/12 , G06F19/24
摘要： A method of diagnosing, predicting, or prognosticating about a disease that includes obtaining experimental data, wherein the experimental data is high dimensional data, filtering the data, reducing the dimensionality of the data through use of one or more methods, training a supervised pattern recognition method, ranking individual data points from the data, wherein the ranking is dependent on the outcome of the supervised pattern recognition method, choosing multiple data points from the data, wherein the choice is based on the relative ranking of the individual data points, and using the multiple data points to determine if an unknown set of experimental data indicates a diseased condition, a predilection for a diseased condition, or a prognosis about a diseased condition.
摘要翻译： 一种诊断，预测或预测疾病的方法，包括获得实验数据，其中实验数据是高维数据，过滤数据，通过使用一种或多种方法降低数据的维度，训练监督模式识别 方法，从数据中排列各个数据点，其中排序取决于监督模式识别方法的结果，从数据中选择多个数据点，其中所述选择基于各个数据点的相对排名，并且使用 多个数据点以确定未知的一组实验数据是否表示疾病状况，患病条件的偏好或关于患病状况的预后。
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6.发明申请METHODS FOR ANALYZING HIGH DIMENSIONAL DATA FOR CLASSIFYING, DIAGNOSING, PROGNOSTICATING, AND/OR PREDICTING DISEASES AND OTHER BIOLOGICAL STATES 失效分析高分辨率数据进行分类，诊断，预处理和/或预测疾病及其他生物学状态的方法公开(公告)号：US20100312486A1
公开(公告)日：2010-12-09
申请号：US12858674
申请日：2010-08-18
申请人： Javed Khan , Markus Ringnér , Carsten Peterson , Paul Meltzer
发明人： Javed Khan , Markus Ringnér , Carsten Peterson , Paul Meltzer
IPC分类号： G06F19/00
CPC分类号： G06F19/20 , C12Q1/6886 , G06F19/12 , G06F19/24
摘要： A method of diagnosing, predicting, or prognosticating about a disease that includes obtaining experimental data, wherein the experimental data is high dimensional data, filtering the data, reducing the dimensionality of the data through use of one or more methods, training a supervised pattern recognition method, ranking individual data points from the data, wherein the ranking is dependent on the outcome of the supervised pattern recognition method, choosing multiple data points from the data, wherein the choice is based on the relative ranking of the individual data points, and using the multiple data points to determine if an unknown set of experimental data indicates a diseased condition, a predilection for a diseased condition, or a prognosis about a diseased condition.
摘要翻译： 一种诊断，预测或预测疾病的方法，包括获得实验数据，其中实验数据是高维数据，过滤数据，通过使用一种或多种方法降低数据的维度，训练监督模式识别 方法，从数据中排列各个数据点，其中排序取决于监督模式识别方法的结果，从数据中选择多个数据点，其中所述选择基于各个数据点的相对排名，并且使用 多个数据点以确定未知的一组实验数据是否表示疾病状况，患病条件的偏好或关于患病状况的预后。
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公开(公告)号：US07774143B2
公开(公告)日：2010-08-10
申请号：US10133937
申请日：2002-04-25
申请人： Javed Khan , Markus Ringnér , Carsten Peterson , Paul Meltzer
发明人： Javed Khan , Markus Ringnér , Carsten Peterson , Paul Meltzer
CPC分类号： G06F19/20 , C12Q1/6886 , G06F19/12 , G06F19/24
摘要： A method of diagnosing, predicting, or prognosticating about a disease that includes obtaining experimental data, wherein the experimental data is high dimensional data, filtering the data, reducing the dimensionality of the data through use of one or more methods, training a supervised pattern recognition method, ranking individual data points from the data, wherein the ranking is dependent on the outcome of the supervised pattern recognition method, choosing multiple data points from the data, wherein the choice is based on the relative ranking of the individual data points, and using the multiple data points to determine if an unknown set of experimental data indicates a diseased condition, a predilection for a diseased condition, or a prognosis about a diseased condition.
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8.发明授权Selections of genes and methods of using the same for diagnosis and for targeting the therapy of select cancers 失效基因的选择和使用该基因的方法用于诊断和靶向选择癌症的治疗公开(公告)号：US07655397B2
公开(公告)日：2010-02-02
申请号：US10159563
申请日：2002-05-31
申请人： Javed Khan , Markus Ringnér , Carsten Peterson , Paul Meltzer
发明人： Javed Khan , Markus Ringnér , Carsten Peterson , Paul Meltzer
摘要： A method of diagnosing a disease that includes obtaining experimental data on gene selections. The gene selection functions to characterize a cancer when the expression of that gene selection is compared to the identical selection from a noncancerous cell or a different type of cancer cell. The invention also includes a method of targeting at least one product of a gene that includes administration of a therapeutic agent. The invention also includes the use of a gene selection for diagnosing a cancer.
摘要翻译： 一种诊断疾病的方法，包括获得关于基因选择的实验数据。 当将该基因选择的表达与来自非癌细胞或不同类型的癌细胞的相同选择进行比较时，基因选择用于表征癌症。 本发明还包括靶向至少一种包括施用治疗剂的基因产物的方法。 本发明还包括使用基因选择来诊断癌症。
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9.发明授权Methods for analyzing high dimensional data for classifying, diagnosing, prognosticating, and/or predicting diseases and other biological states 失效分析高维数据以分类，诊断，预测和/或预测疾病和其他生物状态的方法公开(公告)号：US08065092B2
公开(公告)日：2011-11-22
申请号：US12858674
申请日：2010-08-18
申请人： Javed Khan , Markus Ringnér , Carsten Peterson , Paul Meltzer
发明人： Javed Khan , Markus Ringnér , Carsten Peterson , Paul Meltzer
CPC分类号： G06F19/20 , C12Q1/6886 , G06F19/12 , G06F19/24
摘要： A method of diagnosing, predicting, or prognosticating about a disease that includes obtaining experimental data, wherein the experimental data is high dimensional data, filtering the data, reducing the dimensionality of the data through use of one or more methods, training a supervised pattern recognition method, ranking individual data points from the data, wherein the ranking is dependent on the outcome of the supervised pattern recognition method, choosing multiple data points from the data, wherein the choice is based on the relative ranking of the individual data points, and using the multiple data points to determine if an unknown set of experimental data indicates a diseased condition, a predilection for a diseased condition, or a prognosis about a diseased condition.
摘要翻译： 一种诊断，预测或预测疾病的方法，包括获得实验数据，其中实验数据是高维数据，过滤数据，通过使用一种或多种方法降低数据的维度，训练监督模式识别 方法，从数据中排列各个数据点，其中排序取决于监督模式识别方法的结果，从数据中选择多个数据点，其中所述选择基于各个数据点的相对排名，并且使用 多个数据点以确定未知的一组实验数据是否表示疾病状况，患病条件的偏好或关于患病状况的预后。
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公开(公告)号：US06880234B2
公开(公告)日：2005-04-19
申请号：US09810206
申请日：2001-03-16
申请人： Javed Khan
发明人： Javed Khan
CPC分类号： H01C7/043 , H01C13/02 , H01C17/075 , H01C17/288 , Y10T29/49082 , Y10T29/49085 , Y10T29/49099
摘要： A method for manufacturing a thin film negative temperature coefficient thermistor is disclosed. The method includes selecting a negative temperature coefficient of resistance versus temperature curve, selecting a mixture of metal film materials to provide the negative temperature coefficient of resistance curve while maintaining a desired physical size, and depositing the mixture of metal film materials on a substrate.
摘要翻译： 公开了薄膜负温度系数热敏电阻的制造方法。 该方法包括选择电阻对温度曲线的负温度系数，选择金属膜材料的混合物以提供耐温曲线的负温度系数，同时保持所需的物理尺寸，以及将金属膜材料的混合物沉积在基底上。
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