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1. 发明授权

US09593377B2 Signatures and determinants associated with cancer and methods of use thereof 有权
标题翻译：与癌症相关的签名和决定因素及其使用方法
公开(公告)号：US09593377B2
公开(公告)日：2017-03-14
申请号：US13990710
申请日：2011-11-30
申请人： William C. Hahn , Pablo Tamayo , Jesse S. Boehm , Jill P. Mesirov
发明人： William C. Hahn , Pablo Tamayo , Jesse S. Boehm , Jill P. Mesirov
IPC分类号： C12Q1/68 , G06F19/20 , G06F19/18 , G06F19/24
CPC分类号： C12Q1/6886 , C12Q2600/106 , C12Q2600/136 , C12Q2600/158 , G06F19/18 , G06F19/20 , G06F19/24
摘要： The present invention provides methods of detecting cancer using biomarkers.
摘要翻译：本发明提供使用生物标志物检测癌症的方法。

2. 发明申请

US20130323744A1 Signatures and Determinants Associated with Cancer and Methods of Use Thereof 有权
标题翻译：与癌症相关的签名和决定因素及其使用方法
公开(公告)号：US20130323744A1
公开(公告)日：2013-12-05
申请号：US13990710
申请日：2011-11-30
申请人： William C. Hahn , Pablo Tamayo , Jesse S. Boehm , Jill P. Mesirov
发明人： William C. Hahn , Pablo Tamayo , Jesse S. Boehm , Jill P. Mesirov
IPC分类号： C12Q1/68
CPC分类号： C12Q1/6886 , C12Q2600/106 , C12Q2600/136 , C12Q2600/158 , G06F19/18 , G06F19/20 , G06F19/24
摘要： The present invention provides methods of detecting cancer using biomarkers.
摘要翻译：本发明提供使用生物标志物检测癌症的方法。

3. 发明授权

US07324926B2 Methods for predicting chemosensitivity or chemoresistance 失效
标题翻译：预测化学敏感性或化学耐药性的方法
公开(公告)号：US07324926B2
公开(公告)日：2008-01-29
申请号：US09968627
申请日：2001-10-01
申请人： Pablo Tamayo , Jane E. Staunton , Donna K. Slonim , Hilary A. Coller , Todd R. Golub , Eric S. Lander , Jill P. Mesirov
发明人： Pablo Tamayo , Jane E. Staunton , Donna K. Slonim , Hilary A. Coller , Todd R. Golub , Eric S. Lander , Jill P. Mesirov
IPC分类号： G06G7/60
CPC分类号： G01N33/5014 , C12Q1/6883 , C12Q2600/106 , C12Q2600/136 , C12Q2600/158 , G01N2800/50 , G01N2800/60 , G06F19/18 , G06F19/20 , G06F19/24
摘要： Methods and apparatus for classifying or predicting the classes for samples based on gene expression are described. Also described are methods and apparatus for ascertaining or discovering new, previously unknown classes based on gene expression. Methods, computer systems and apparatus for classifying or predicting whether a sample is treatment sensitive (e.g., chemosensitive) or treatment resistant (e.g., chemoresistant) are also provided. Classification occurs based on analysis of gene expression data from samples that have been subjected to one or more compounds.
摘要翻译：描述了基于基因表达分类或预测样品类别的方法和装置。还描述了基于基因表达来确定或发现新的以前未知的类的方法和装置。还提供了用于分类或预测样品是否具有治疗敏感性（例如化学敏感性）或治疗抗性（例如化学耐药性）的方法，计算机系统和装置。基于来自已经经受一种或多种化合物的样品的基因表达数据的分析发生分类。

4. 发明申请

US20050246354A1 Non-negative matrix factorization in a relational database management system 有权
标题翻译：关系数据库管理系统中的非负矩阵分解
公开(公告)号：US20050246354A1
公开(公告)日：2005-11-03
申请号：US10927083
申请日：2004-08-27
申请人： Pablo Tamayo , George Tang , Mark McCracken , Mahesh Jagannath , Marcos Campos , Boriana Milenova , Joseph Yarmus , Pavani Kuntala
发明人： Pablo Tamayo , George Tang , Mark McCracken , Mahesh Jagannath , Marcos Campos , Boriana Milenova , Joseph Yarmus , Pavani Kuntala
IPC分类号： G06F7/00
CPC分类号： G06F17/30592 , G06F17/30539
摘要： An implementation of NMF functionality integrated into a relational database management system provides the capability to apply NMF to relational datasets and to sparse datasets. A database management system comprises a multi-dimensional data table operable to store data and a processing unit operable to perform non-negative matrix factorization on data stored in the multi-dimensional data table and to generate a plurality of data tables, each data table being smaller than the multi-dimensional data table and having reduced dimensionality relative to the multi-dimensional data table. The multi-dimensional data table may be a relational data table.
摘要翻译：集成到关系数据库管理系统中的NMF功能的实现提供了将NMF应用于关系数据集和稀疏数据集的能力。数据库管理系统包括可操作以存储数据的多维数据表和可操作以对存储在多维数据表中的数据执行非负矩阵分解并生成多个数据表的处理单元，每个数据表为小于多维数据表并且相对于多维数据表具有降低的维度。多维数据表可以是关系数据表。

5. 发明授权

US07239986B2 Methods for classifying samples and ascertaining previously unknown classes 失效
标题翻译：分类样本和确定以前未知类的方法
公开(公告)号：US07239986B2
公开(公告)日：2007-07-03
申请号：US10074789
申请日：2002-02-12
申请人： Todd R. Golub , Eric S. Lander , Jill Mesirov , Donna Slonim , Pablo Tamayo
发明人： Todd R. Golub , Eric S. Lander , Jill Mesirov , Donna Slonim , Pablo Tamayo
IPC分类号： G06G7/60 , G06F19/00
CPC分类号： G06F19/20
摘要： Methods and apparatus for classifying or predicting the classes for samples based on gene expression are described. Also described are methods and apparatus for ascertaining or discovering new, previously unknown classes based on gene expression.
摘要翻译：描述了基于基因表达分类或预测样品类别的方法和装置。还描述了基于基因表达来确定或发现新的以前未知的类的方法和装置。

6. 发明授权

US06941318B1 Universal tree interpreter for data mining models 有权
标题翻译：数据挖掘模型的通用树解释器
公开(公告)号：US06941318B1
公开(公告)日：2005-09-06
申请号：US10142169
申请日：2002-05-10
申请人： Pablo Tamayo , Gary Drescher
发明人： Pablo Tamayo , Gary Drescher
IPC分类号： G06F17/30 , G06K9/62
CPC分类号： G06K9/6282 , Y10S707/99943
摘要： A method, system, and computer program product for generating a representation of a data mining model that improves the transparency of data mining models so as to be more easily interpretable by human users. The method comprises the steps of: receiving a dataset, generating a callable version of the data mining model, and generating a tree representing decisional logic of the data mining model using the dataset.
摘要翻译：一种用于生成数据挖掘模型的表示的方法，系统和计算机程序产品，其提高数据挖掘模型的透明度，以便人们更易于解释。该方法包括以下步骤：接收数据集，生成数据挖掘模型的可调用版本，以及使用数据集生成表示数据挖掘模型的决策逻辑的树。

7. 发明授权

US07734652B2 Non-negative matrix factorization from the data in the multi-dimensional data table using the specification and to store metadata representing the built relational database management system 有权
标题翻译：使用规范的多维数据表中的数据进行非负矩阵分解，并存储表示构建的关系数据库管理系统的元数据
公开(公告)号：US07734652B2
公开(公告)日：2010-06-08
申请号：US10927083
申请日：2004-08-27
申请人： Pablo Tamayo , George G. Tang , Mark A. McCracken , Mahesh K. Jagannath , Marcos M. Campos , Boriana L. Milenova , Joseph S. Yarmus , Pavani Kuntala
发明人： Pablo Tamayo , George G. Tang , Mark A. McCracken , Mahesh K. Jagannath , Marcos M. Campos , Boriana L. Milenova , Joseph S. Yarmus , Pavani Kuntala
IPC分类号： G06F17/00 , G06F17/30
CPC分类号： G06F17/30592 , G06F17/30539
摘要： An implementation of NMF functionality integrated into a relational database management system provides the capability to apply NMF to relational datasets and to sparse datasets. A database management system comprises a multi-dimensional data table operable to store data and a processing unit operable to perform non-negative matrix factorization on data stored in the multi-dimensional data table and to generate a plurality of data tables, each data table being smaller than the multi-dimensional data table and having reduced dimensionality relative to the multi-dimensional data table. The multi-dimensional data table may be a relational data table.
摘要翻译：集成到关系数据库管理系统中的NMF功能的实现提供了将NMF应用于关系数据集和稀疏数据集的能力。数据库管理系统包括可操作以存储数据的多维数据表和可操作以对存储在多维数据表中的数据执行非负矩阵分解并生成多个数据表的处理单元，每个数据表为小于多维数据表并且相对于多维数据表具有降低的维度。多维数据表可以是关系数据表。

8. 发明申请

US20090276403A1 PROJECTION MINING FOR ADVANCED RECOMMENDATION SYSTEMS AND DATA MINING 审中-公开
标题翻译：用于高级建议系统和数据挖掘的投影采矿
公开(公告)号：US20090276403A1
公开(公告)日：2009-11-05
申请号：US12324295
申请日：2008-11-26
申请人： Pablo Tamayo , Mark Hornick , Marcos M. Campos , Boriana Milenova
发明人： Pablo Tamayo , Mark Hornick , Marcos M. Campos , Boriana Milenova
IPC分类号： G06F17/30 , G06F15/18 , G06F7/78
CPC分类号： G06N20/00 , G06Q10/109
摘要： A method for projection mining comprises performing a first projection on a first data object of a first type comprising a plurality of data entries and a second data object of a second type comprising a plurality of data entries to create definitions of attributes of the first data object and definitions of attributes of the second data object, performing a second projection of the definitions of the attributes of the first data object and the definitions of the attributes of the second data object into a space of meta-attributes based on semantic relationships among the attributes of the first data object and the second data object, learning relationships between the space of meta-attributes formed by the projections of the first data object and the second data object and a space of meta-attributes relating to new data not included in the first data object and the second data object, and generating at least one new data object of the first or second type based on the new data using the learned relationships.
摘要翻译：一种用于投影挖掘的方法包括在包括多个数据条目的第一类型的第一数据对象上执行第一投影和包括多个数据条目的第二类型的第二数据对象，以创建第一数据对象的属性的定义以及第二数据对象的属性的定义，基于属性之间的语义关系执行第一数据对象的属性的定义和第二数据对象的属性的定义的第二投影到元属性的空间中所述第一数据对象和所述第二数据对象之间的所述第一数据对象与所述第二数据对象的投影所形成的元属性的空间之间的学习关系以及与不包括在所述第一数据对象数据对象和第二数据对象，并且基于使用t的新数据生成第一或第二类型的至少一个新的数据对象他学会了关系。

9. 发明授权

US07105293B2 Genetic markers for tumors 有权
公开(公告)号：US07105293B2
公开(公告)日：2006-09-12
申请号：US09955920
申请日：2001-09-19
申请人： Sridhar Ramaswamy , Todd R. Golub , Pablo Tamayo , Michael Angelo
发明人： Sridhar Ramaswamy , Todd R. Golub , Pablo Tamayo , Michael Angelo
IPC分类号： C12Q1/68 , C12N15/12
CPC分类号： C12Q1/6886 , C12Q2600/136 , C12Q2600/158
摘要： Sets of genetic markers for specific tumor classes are described, as well as methods of identifying a biological sample based on these markers. Also described are diagnostic, prognostic, and therapeutic screening uses for these markers, as well as oligonucleotide arrays comprising these markers.

10. 发明授权

US07117208B2 Enterprise web mining system and method 有权
公开(公告)号：US07117208B2
公开(公告)日：2006-10-03
申请号：US11013339
申请日：2004-12-17
申请人： Pablo Tamayo , Jacek Myczkowski , Marcos Campos
发明人： Pablo Tamayo , Jacek Myczkowski , Marcos Campos
IPC分类号： G06F17/30
CPC分类号： G06F17/30539 , G06F17/30864 , G06F2216/03 , Y10S707/954 , Y10S707/99936 , Y10S707/99937
摘要： An enterprise-wide web data mining system, computer program product, and method of operation thereof, that uses Internet based data sources, and which operates in an automated and cost effective manner. The enterprise web mining system comprises: a database coupled to a plurality of data sources, the database operable to store data collected from the data sources; a data mining engine coupled to the web server and the database, the data mining engine operable to generate a plurality of data mining models using the collected data; a server coupled to a network, the server operable to: receive a request for a prediction or recommendation over the network, generate a prediction or recommendation using the data mining models, and transmit the generated prediction or recommendation.

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