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    • 51. 发明授权
    • Dimensionally constrained synthetic context objects database
    • 尺寸约束的合成上下文对象数据库
    • US08620958B1
    • 2013-12-31
    • US13610347
    • 2012-09-11
    • Samuel S. AdamsRobert R. FriedlanderJames R. Kraemer
    • Samuel S. AdamsRobert R. FriedlanderJames R. Kraemer
    • G06F7/00G06F17/30
    • G06F17/30539G06F7/00G06F17/30G06F17/30528G06F17/30589G06F17/30607G06F2216/03
    • A processor-implemented method, system, and/or computer program product generate and utilize a dimensionally constrained hierarchical synthetic context-based object library for multiple synthetic context-based objects. A non-contextual data object is associated with a context object to define a synthetic context-based object, where the non-contextual data object ambiguously relates to multiple subject-matters, and where the context object provides a context that identifies a specific subject-matter, from the multiple subject-matters, of the non-contextual data object. The synthetic context-based object is then associated with at least one specific data store, which includes data that is associated with data contained in the non-contextual data object and the context object. A dimensionally constrained hierarchical synthetic context-based object library for multiple synthetic context-based objects is then constructed for handling requests for data stores, where a requester requests data stores that are associated with a same dimension of the dimensionally constrained hierarchical synthetic context-based object library.
    • 处理器实现的方法,系统和/或计算机程序产品针对多个合成的基于上下文的对象生成并利用尺度上限制的层级合成基于上下文的对象库。 非上下文数据对象与上下文对象相关联以定义合成的基于上下文的对象,其中非上下文数据对象含义地涉及多个主题事件,并且其中上下文对象提供识别特定主题 - 从多个主题事件,非上下文数据对象的事情。 合成的基于上下文的对象然后与至少一个特定的数据存储相关联,该存储包括与非上下文数据对象和上下文对象中包含的数据相关联的数据。 然后构建用于多个基于合成的基于上下文的对象的基于尺寸限制的基于层级的合成基于上下文的对象库,用于处理对数据存储的请求,其中请求者请求与尺寸限制的层级合成基于上下文的对象的相同维度相关联的数据存储 图书馆。
    • 52. 发明申请
    • MINIMIZATION OF SURPRISAL DATA THROUGH APPLICATION OF HIERARCHY FILTER PATTERN
    • 通过应用层次滤波器图案来最小化数据
    • US20130311435A1
    • 2013-11-21
    • US13491884
    • 2012-06-08
    • Robert R. FriedlanderJames R. Kraemer
    • Robert R. FriedlanderJames R. Kraemer
    • G06F7/00G06F17/30
    • G06F16/1744G06F16/24578G16B30/00G16B50/00
    • A method, computer product, and computer system of minimizing surprisal data comprising: at a source, reading and identifying characteristics of a genetic sequence of an organism; receiving an input of rank of at least two identified characteristics of the genetic sequence of the organism; generating a hierarchy of ranked, identified characteristics based on the rank of the at least two identified characteristics of the genetic sequence of the organism; comparing the hierarchy of ranked, identified characteristics to a repository of reference genomes; and if at least one reference genome from the repository matches the hierarchy of ranked, identified characteristics, breaking the matched reference genomes into pieces, combining pieces associated with the identified characteristics from at least one matched reference genome to form a filter pattern to be compared to the nucleotides of the genetic sequence of the organism, to obtain differences and create surprisal data.
    • 一种使意外数据最小化的方法,计算机产品和计算机系统,包括:来源,读取和识别生物体的遗传序列的特征; 接收生物体遗传序列的至少两个识别特征的等级的输入; 基于所述生物体的遗传序列的所述至少两个识别的特征的等级来生成排名,确定的特征的层次; 将排名的,识别的特征的层级与参考基因组的储存库进行比较; 并且如果来自所述储存库的至少一个参考基因组匹配排序,鉴定的特征的分级,将所述匹配的参考基因组破碎成碎片,将与所识别的特征相关联的片段与至少一个匹配的参考基因组相组合以形成要与 生物的遗传序列的核苷酸,以获得差异并产生令人惊讶的数据。
    • 53. 发明申请
    • PARALLELIZATION OF SURPRISAL DATA REDUCTION AND GENOME CONSTRUCTION FROM GENETIC DATA FOR TRANSMISSION, STORAGE, AND ANALYSIS
    • 用于传输,存储和分析的遗传数据的平均数据简化和基因组建的并行化
    • US20130254218A1
    • 2013-09-26
    • US13428339
    • 2012-03-23
    • Robert R. FriedlanderJames R. Kraemer
    • Robert R. FriedlanderJames R. Kraemer
    • G06F17/30
    • G06F19/22
    • A method, computer product, and computer system of reducing an amount of data representing a genetic sequence of an organism, comprising: a computer dividing a reference genome and a sequence of the organism into parts and assigning the parts to one of a plurality of computer processing elements. Within each computer processing element, comparing nucleotides of the genetic sequence of the organism to nucleotides from a part of the reference genome, to find differences where nucleotides of the genetic sequence of the organism which are different from the nucleotides of the reference genome; and storing the surprisal data in a repository. Combining the parts of the surprisal data from the repository to form a complete set of surprisal data representing the differences between the genetic sequence of the organism and the reference genome; and storing the complete set of surprisal data in the repository.
    • 一种减少表示生物体的遗传序列的数据量的方法,计算机产品和计算机系统,包括:将参考基因组和所述生物体的序列划分为部分并将所述部分分配给多个计算机之一的计算机 处理元件。 在每个计算机处理元件内,将生物体的遗传序列的核苷酸与来自参考基因组的一部分的核苷酸进行比较,以发现不同于参考基因组的核苷酸的生物的遗传序列的核苷酸的差异; 并将惊奇数据存储在存储库中。 将来自储存库的惊人数据的部分组合以形成一组完整的惊人数据,这些数据表示生物体的基因序列与参照基因组之间的差异; 并将完整的惊奇数据集存储在存储库中。
    • 60. 发明授权
    • System and method for deriving a hierarchical event based database optimized for pharmaceutical analysis
    • 用于导出针对药物分析优化的基于层次事件的数据库的系统和方法
    • US07970759B2
    • 2011-06-28
    • US11678957
    • 2007-02-26
    • Robert R. FriedlanderRichard A. HennessyJames R. Kraemer
    • Robert R. FriedlanderRichard A. HennessyJames R. Kraemer
    • G06F17/30
    • G06F17/30522
    • A computer implemented method, apparatus, and computer usable program code for inferring a probability of a first inference absent from a database at which a query regarding the inference is received. Each datum of the database is conformed to the dimensions of the database. Each datum of the plurality of data has associated metadata and an associated key. The associated metadata includes data regarding cohorts associated with the corresponding datum, data regarding hierarchies associated with the corresponding datum, data regarding a corresponding source of the datum, and data regarding probabilities associated with integrity, reliability, and importance of each associated datum. The query is used as a frame of reference for the search. The database returns a probability of the correctness of the first inference based on the query and on the data.
    • 一种计算机实现的方法,装置和计算机可用程序代码,用于推断从数据库中不存在关于推断的查询的第一推断的概率。 数据库的每个数据符合数据库的维度。 多个数据的每个数据具有关联的元数据和相关联的密钥。 关联的元数据包括关于与相应数据相关联的队列的数据,关于与相应数据相关联的层级的数据,关于数据的相应源的数据,以及关于与每个相关联的数据的完整性,可靠性和重要性相关联的概率的数据。 该查询用作搜索的参考框架。 数据库返回基于查询和数据的第一推断的正确性的概率。