公开(公告)号：US20130030713A1

公开(公告)日：2013-01-31

申请号：US13621311

申请日：2012-09-17

申请人： Ranajit Chakraborty ,  John Douglas Birdwell ,  Tse-Wei Wang ,  Dale V. Stansberry

发明人： Ranajit Chakraborty ,  John Douglas Birdwell ,  Tse-Wei Wang ,  Dale V. Stansberry

IPC分类号： G06F17/30 ,  G06F19/00

CPC分类号： G06F19/18

摘要： The present invention provides a method of predicting whether an unknown biological specimen originates from a member of a particular family. The method compares DNA profiles from at least one unknown biological specimen to DNA profiles of more than one family member, which significantly increases the methods' predictive ability. In particular, the invention describes a method of comparing test DNA profiles from unknown biological specimens to a family pedigree comprising target DNA profiles obtained from biological specimens of family members. In one embodiment, a modified Elston Stewart algorithm is used to determine a probability that a genetic relationship exists between at least one unknown biological specimen and the family pedigree.

摘要翻译： 本发明提供一种预测未知生物样品是否源自特定家族成员的方法。 该方法将来自至少一个未知生物标本的DNA谱与多于一个家族成员的DNA谱进行比较，从而显着提高了方法的预测能力。 特别地，本发明描述了将来自未知生物标本的测试DNA谱与家族谱系进行比较的方法，该方法包括从家族成员的生物标本获得的靶DNA谱。 在一个实施例中，使用修改的Elston Stewart算法来确定在至少一个未知生物样本和家族血统之间存在遗传关系的概率。

公开(公告)号：US08412463B2

公开(公告)日：2013-04-02

申请号：US13209278

申请日：2011-08-12

申请人： John Douglas Birdwell ,  Tse-Wei Wang ,  Dale V. Stansberry ,  Ranajit Chakraborty

发明人： John Douglas Birdwell ,  Tse-Wei Wang ,  Dale V. Stansberry ,  Ranajit Chakraborty

IPC分类号： G01N33/50

CPC分类号： G06F19/18

摘要： The present invention provides at least three methods of predicting whether an unknown biological specimen originates from a member of a particular family. These methods compare DNA profiles from unknown biological specimens to DNA profiles of more than one family member, which significantly increases the methods' identification ability. In particular, the invention describes combining at least a ranked first family member list and a ranked second family member list to create a combined ranked list and identifying the unknown biological specimen as one contained among a list of specimens having the highest combined rankings representing the candidates that are most likely related to the family. A second method encompasses comparing test DNA profiles from unknown biological specimens to a family pedigree comprising target DNA profiles obtained from multiple biological specimens of family members. This method also embodies using a modified Elston Stewart algorithm to determine a pedigree likelihood ratio to rank and identify the test profile of the unknown biological specimen most likely to be the missing person sought after by the corresponding family represented by the family pedigree. A third method encompasses construction of a database or directed graph of discovered or known relationships between biological specimens and comparison to a graph representing a family pedigree to identify portions of the database or directed graph that correspond to portions of the family pedigree, in order to rank or identify one or more unknown biological specimens as most likely related to one or more family pedigrees.

摘要翻译： 本发明提供了至少三种预测未知生物样品是否源自特定家族成员的方法。 这些方法将来自未知生物标本的DNA谱与多于一个家族成员的DNA谱进行了比较，从而显着提高了方法识别能力。 特别地，本发明描述了将至少排列的第一家族成员列表和排名第二家庭成员列表组合以创建组合排名列表，并且将未知生物标本识别为包含表示候选者的具有最高组合排名的标本列表之一 这很可能与家庭有关。 第二种方法包括比较来自未知生物标本的测试DNA谱与家族谱系，其包括从家族成员的多个生物标本获得的靶DNA谱。 该方法还体现了使用修改的埃尔斯顿斯图尔特算法来确定血统似然比以排列并鉴定最可能是由家族谱系所代表的相应家族所追求的失踪者的未知生物标本的测试轮廓。 第三种方法包括构建生物标本之间已发现或已知关系的数据库或有向图，并与代表家族血统图的图表进行比较，以便识别对应于家族血统部分的数据库或有向图的部分，以便排列 或识别一个或多个未知生物标本，其最可能与一个或多个家族谱系相关。

公开(公告)号：US20110295518A1

公开(公告)日：2011-12-01

申请号：US13209278

申请日：2011-08-12

申请人： Ranajit Chakraborty ,  John Douglas Birdwell ,  Tse-Wei Wang ,  Dale V. Stansberry

发明人： Ranajit Chakraborty ,  John Douglas Birdwell ,  Tse-Wei Wang ,  Dale V. Stansberry

IPC分类号： G06F19/00

CPC分类号： G06F19/18

摘要： The present invention provides at least three methods of predicting whether an unknown biological specimen originates from a member of a particular family. These methods compare DNA profiles from unknown biological specimens to DNA profiles of more than one family member, which significantly increases the methods' identification ability. In particular, the invention describes combining at least a ranked first family member list and a ranked second family member list to create a combined ranked list and identifying the unknown biological specimen as one contained among a list of specimens having the highest combined rankings representing the candidates that are most likely related to the family. A second method encompasses comparing test DNA profiles from unknown biological specimens to a family pedigree comprising target DNA profiles obtained from multiple biological specimens of family members. This method also embodies using a modified Elston Stewart algorithm to determine a pedigree likelihood ratio to rank and identify the test profile of the unknown biological specimen most likely to be the missing person sought after by the corresponding family represented by the family pedigree. A third method encompasses construction of a database or directed graph of discovered or known relationships between biological specimens and comparison to a graph representing a family pedigree to identify portions of the database or directed graph that correspond to portions of the family pedigree, in order to rank or identify one or more unknown biological specimens as most likely related to one or more family pedigrees.

摘要翻译： 本发明提供了至少三种预测未知生物样品是否源自特定家族成员的方法。 这些方法将来自未知生物标本的DNA谱与多于一个家族成员的DNA谱进行了比较，从而显着提高了方法识别能力。 特别地，本发明描述了将至少排列的第一家族成员列表和排名第二家庭成员列表组合以创建组合排名列表，并且将未知生物标本识别为包含表示候选者的具有最高组合排名的标本列表之一 这很可能与家庭有关。 第二种方法包括比较来自未知生物标本的测试DNA谱与家族谱系，其包括从家族成员的多个生物标本获得的靶DNA谱。 该方法还体现了使用修改的埃尔斯顿斯图尔特算法来确定血统似然比以排列并鉴定最可能是由家族谱系所代表的相应家族所追求的失踪者的未知生物标本的测试轮廓。 第三种方法包括构建生物标本之间已发现或已知关系的数据库或有向图，并与代表家族血统图的图表进行比较，以便识别对应于家族血统部分的数据库或有向图的部分，以便排列 或识别一个或多个未知生物标本，其最可能与一个或多个家族谱系相关。

公开(公告)号：US20080040046A1

公开(公告)日：2008-02-14

申请号：US11467834

申请日：2006-08-28

申请人： Ranajit Chakraborty ,  John Douglas Birdwell ,  Tse-Wei Wang ,  Dale V. Stansberry

发明人： Ranajit Chakraborty ,  John Douglas Birdwell ,  Tse-Wei Wang ,  Dale V. Stansberry

IPC分类号： G06F19/00

CPC分类号： G06F19/18

摘要： The present invention provides at least three methods of predicting whether an unknown biological specimen originates from a member of a particular family. These methods compare DNA profiles from unknown biological specimens to DNA profiles of more than one family member, which significantly increases the methods' identification ability. In particular, the invention describes combining at least a ranked first family member list and a ranked second family member list to create a combined ranked list and identifying the unknown biological specimen as one contained among a list of specimens having the highest combined rankings representing the candidates that are most likely related to the family. A second method encompasses comparing test DNA profiles from unknown biological specimens to a family pedigree comprising target DNA profiles obtained from multiple biological specimens of family members. This method also embodies using a modified Elston Stewart algorithm to determine a pedigree likelihood ratio to rank and identify the test profile of the unknown biological specimen most likely to be the missing person sought after by the corresponding family represented by the family pedigree. A third method encompasses construction of a database or directed graph of discovered or known relationships between biological specimens and comparison to a graph representing a family pedigree to identify portions of the database or directed graph that correspond to portions of the family pedigree, in order to rank or identify one or more unknown biological specimens as most likely related to one or more family pedigrees.

摘要翻译： 本发明提供了至少三种预测未知生物样品是否源自特定家族成员的方法。 这些方法将来自未知生物标本的DNA谱与多于一个家族成员的DNA谱进行了比较，从而显着提高了方法识别能力。 特别地，本发明描述了将至少排列的第一家族成员列表和排名第二家庭成员列表组合以创建组合排名列表，并且将未知生物标本识别为包含表示候选者的具有最高组合排名的标本列表之一 这很可能与家庭有关。 第二种方法包括比较来自未知生物标本的测试DNA谱与家族谱系，其包括从家族成员的多个生物标本获得的靶DNA谱。 该方法还体现了使用修改的埃尔斯顿斯图尔特算法来确定血统似然比以排列并鉴定最可能是由家族谱系所代表的相应家族所追求的失踪者的未知生物标本的测试轮廓。 第三种方法包括构建生物标本之间已发现或已知关系的数据库或有向图，并与代表家族血统图的图表进行比较，以便识别对应于家族血统部分的数据库或有向图的部分，以便排列 或识别一个或多个未知生物标本，其最可能与一个或多个家族谱系相关。

公开(公告)号：US08301392B2

公开(公告)日：2012-10-30

申请号：US12684539

申请日：2010-01-08

申请人： Ranajit Chakraborty ,  John Douglas Birdwell ,  Tse-Wei Wang ,  Dale V. Stansberry

发明人： Ranajit Chakraborty ,  John Douglas Birdwell ,  Tse-Wei Wang ,  Dale V. Stansberry

IPC分类号： G01N33/50

CPC分类号： G06F19/18

摘要： Three methods of predicting whether an unknown biological specimen of a missing person originates from a member of a particular family comprise an initial automated decision support (ADS) algorithm for determining a list of relatives of the missing person for DNA typing and which typing technologies of available technologies to use for a listed relative. The ADS algorithm may be implemented on computer apparatus including a processor and an associated memory. The ADS method comprises determining a set of relatives of available family member relatives for DNA typing via a processor from a stored list of family member relatives according to one of a rule base, a table of hierarchically stored relatives developed based on discriminatory power or by calculating the discriminatory power for available family relatives to type. The ADS method may further comprise comparing at least one set of DNA typing data for the unknown biological specimen to DNA typing data from biological specimens from the determined set of relatives; calculating by the processor a likelihood function that the person is related to the family; and outputting a decision whether or not the person is related to the family.

摘要翻译： 预测失踪人员的未知生物样本是否来自特定家族成员的三种方法包括用于确定用于DNA分型的失踪者的亲属的列表的初始自动决策支持（ADS）算法，以及可用的打字技术 用于列出的亲属的技术。 ADS算法可以在包括处理器和相关联的存储器的计算机设备上实现。 ADS方法包括根据规则库，基于歧视性权力开发的分层存储的亲属的表格中的一个，通过处理器从存储的家庭成员亲属列表中确定可用的家庭成员亲属的一组亲属进行DNA分型，或通过计算 可供亲属出面的歧视性权力。 ADS方法还可以包括将未知生物标本的至少一组DNA分型数据与来自确定的一组亲属的生物标本的DNA分型数据进行比较; 由处理器计算该人与家庭相关的似然函数; 并输出该人是否与家人有关的决定。

公开(公告)号：US08271201B2

公开(公告)日：2012-09-18

申请号：US11467834

申请日：2006-08-28

申请人： Ranajit Chakraborty ,  John Douglas Birdwell ,  Tse-Wei Wang ,  Dale V. Stansberry

发明人： Ranajit Chakraborty ,  John Douglas Birdwell ,  Tse-Wei Wang ,  Dale V. Stansberry

IPC分类号： G01N33/50 ,  G01N33/48

CPC分类号： G06F19/18

摘要： The present invention provides at least three methods of predicting whether an unknown biological specimen originates from a member of a particular family. These methods compare DNA profiles from unknown biological specimens to DNA profiles of more than one family member, which significantly increases the methods' identification ability. In particular, the invention describes combining at least a ranked first family member list and a ranked second family member list to create a combined ranked list and identifying the unknown biological specimen as one contained among a list of specimens having the highest combined rankings representing the candidates that are most likely related to the family. A second method encompasses comparing test DNA profiles from unknown biological specimens to a family pedigree comprising target DNA profiles obtained from multiple biological specimens of family members. This method also embodies using a modified Elston Stewart algorithm to determine a pedigree likelihood ratio to rank and identify the test profile of the unknown biological specimen most likely to be the missing person sought after by the corresponding family represented by the family pedigree. A third method encompasses construction of a database or directed graph of discovered or known relationships between biological specimens and comparison to a graph representing a family pedigree to identify portions of the database or directed graph that correspond to portions of the family pedigree, in order to rank or identify one or more unknown biological specimens as most likely related to one or more family pedigrees.

摘要翻译： 本发明提供了至少三种预测未知生物样品是否源自特定家族成员的方法。 这些方法将来自未知生物标本的DNA谱与多于一个家族成员的DNA谱进行了比较，从而显着提高了方法识别能力。 特别地，本发明描述了将至少排列的第一家族成员列表和排名第二家庭成员列表组合以创建组合排名列表，并且将未知生物标本识别为包含表示候选者的具有最高组合排名的标本列表之一 这很可能与家庭有关。 第二种方法包括比较来自未知生物标本的测试DNA谱与家族谱系，其包括从家族成员的多个生物标本获得的靶DNA谱。 该方法还体现了使用修改的埃尔斯顿斯图尔特算法来确定血统似然比以排列并鉴定最可能是由家族谱系所代表的相应家族所追求的失踪者的未知生物标本的测试轮廓。 第三种方法包括构建生物标本之间已发现或已知关系的数据库或有向图，并与代表家族血统图的图表进行比较，以便识别对应于家族血统部分的数据库或有向图的部分，以便排列 或识别一个或多个未知生物标本，其最可能与一个或多个家族谱系相关。

公开(公告)号：US20100138374A1

公开(公告)日：2010-06-03

申请号：US12684539

申请日：2010-01-08

申请人： Ranajit Chakraborty ,  John Douglas Birdwell ,  Tse-Wei Wang ,  Dale V. Stansberry

发明人： Ranajit Chakraborty ,  John Douglas Birdwell ,  Tse-Wei Wang ,  Dale V. Stansberry

IPC分类号： G06N5/02 ,  G06F17/00

CPC分类号： G06F19/18

摘要： Three methods of predicting whether an unknown biological specimen of a missing person originates from a member of a particular family comprise an initial automated decision support (ADS) algorithm for determining a list of relatives of the missing person for DNA typing and which typing technologies of available technologies to use for a listed relative. The ADS algorithm may be implemented on computer apparatus including a processor and an associated memory. The ADS method comprises determining a set of relatives of available family member relatives for DNA typing via a processor from a stored list of family member relatives according to one of a rule base, a table of hierarchically stored relatives developed based on discriminatory power or by calculating the discriminatory power for available family relatives to type. The ADS method may further comprise comparing at least one set of DNA typing data for the unknown biological specimen to DNA typing data from biological specimens from the determined set of relatives; calculating by the processor a likelihood function that the person is related to the family; and outputting a decision whether or not the person is related to the family.

摘要翻译： 预测失踪人员的未知生物样本是否来自特定家族成员的三种方法包括用于确定用于DNA分型的失踪者的亲属的列表的初始自动决策支持（ADS）算法，以及可用的打字技术 用于列出的亲属的技术。 ADS算法可以在包括处理器和相关联的存储器的计算机设备上实现。 ADS方法包括根据规则库，基于歧视性权力开发的分层存储的亲属的表格中的一个，通过处理器从存储的家庭成员亲属列表中确定可用的家庭成员亲属的一组亲属进行DNA分型，或通过计算 可供亲属出面的歧视性权力。 ADS方法还可以包括将未知生物标本的至少一组DNA分型数据与来自确定的一组亲属的生物标本的DNA分型数据进行比较; 由处理器计算该人与家庭相关的似然函数; 并输出该人是否与家人有关的决定。

公开(公告)号：US20100114809A1

公开(公告)日：2010-05-06

申请号：US12618205

申请日：2009-11-13

申请人： John Douglas Birdwell ,  Tse-Wei Wang ,  Dale V. Stansberry ,  Jared Pendleton

发明人： John Douglas Birdwell ,  Tse-Wei Wang ,  Dale V. Stansberry ,  Jared Pendleton

IPC分类号： G06N5/02 ,  G06F17/00

CPC分类号： G06F17/246

摘要： Methods of analyzing data are provided. An expert system receives input from at least a first source. Data is imported and analyzed by an expert system, wherein the expert system makes at least one first decision, which characterizes the data based on a rule base. The at least one first decision is displayable and modifiable by a first input from a first source. In response to the first input from the first source, the rule base may be re-applied to make at least one second decision, wherein the at least one second decision is different from the at least one first decision, or the at least one first decision may be accepted. The at least one first decision or the at least one second decision is then displayable and modifiable in response to a first input from a second source. In response to the first input from the second source, the rule base is either re-applied to make at least one third decision, wherein the third decision is different from the second decision, or either the first or second decisions are accepted.

摘要翻译： 提供数据分析方法。 专家系统从至少第一源接收输入。 数据由专家系统导入和分析，其中专家系统作出至少一个第一决定，其基于规则库来表征数据。 所述至少一个第一决定是可由第一来源的第一输入显示和修改的。 响应于来自第一源的第一输入，规则库可以被重新应用以做出至少一个第二决定，其中所述至少一个第二决定不同于所述至少一个第一决定，或者所述至少一个第一决定 决定可能被接受。 响应于来自第二源的第一输入，至少一个第一决定或至少一个第二决定然后可显示和修改。 响应于来自第二来源的第一输入，规则库被重新应用以做出至少一个第三决定，其中第三决定不同于第二决定，或者接受第一或第二决定。

公开(公告)号：US07664719B2

公开(公告)日：2010-02-16

申请号：US11560601

申请日：2006-11-16

申请人： John Douglas Birdwell ,  Tse-Wei Wang ,  Dale V. Stansberry ,  Jared Pendleton

发明人： John Douglas Birdwell ,  Tse-Wei Wang ,  Dale V. Stansberry ,  Jared Pendleton

IPC分类号： G06N5/00

CPC分类号： G06N5/04

摘要： Methods of analyzing data are provided. An expert system receives input from at least a first source. Data is imported and analyzed by an expert system, wherein the expert system makes at least one first decision, which characterizes the data based on a rule base. The at least one first decision is displayable and modifiable by a first input from a first source. In response to the first input from the first source, the rule base may be re-applied to make at least one second decision, wherein the at least one second decision is different from the at least one first decision, or the at least one first decision may be accepted. The at least one first decision or the at least one second decision is then displayable and modifiable in response to a first input from a second source. In response to the first input from the second source, the rule base is either re-applied to make at least one third decision, wherein the third decision is different from the second decision, or either the first or second decisions are accepted.

摘要翻译： 提供数据分析方法。 专家系统从至少第一源接收输入。 数据由专家系统导入和分析，其中专家系统作出至少一个第一决定，其基于规则库来表征数据。 所述至少一个第一决定是可由第一来源的第一输入显示和修改的。 响应于来自第一源的第一输入，规则库可以被重新应用以做出至少一个第二决定，其中所述至少一个第二决定不同于所述至少一个第一决定，或者所述至少一个第一决定 决定可能被接受。 响应于来自第二源的第一输入，至少一个第一决定或至少一个第二决定然后可显示和修改。 响应于来自第二来源的第一输入，规则库被重新应用以做出至少一个第三决定，其中第三决定不同于第二决定，或者接受第一或第二决定。

公开(公告)号：US20080288428A1

公开(公告)日：2008-11-20

申请号：US11560601

申请日：2006-11-16

申请人： John Douglas Birdwell ,  Tse-Wei Wang ,  Dale V. Stansberry ,  Jared Pendleton

发明人： John Douglas Birdwell ,  Tse-Wei Wang ,  Dale V. Stansberry ,  Jared Pendleton

IPC分类号： G06N5/02

CPC分类号： G06N5/04

摘要： Methods of analyzing data are provided. An expert system receives input from at least a first source. Data is imported and analyzed by an expert system, wherein the expert system makes at least one first decision, which characterizes the data based on a rule base. The at least one first decision is displayable and modifiable by a first input from a first source. In response to the first input from the first source, the rule base may be re-applied to make at least one second decision, wherein the at least one second decision is different from the at least one first decision, or the at least one first decision may be accepted. The at least one first decision or the at least one second decision is then displayable and modifiable in response to a first input from a second source. In response to the first input from the second source, the rule base is either re-applied to make at least one third decision, wherein the third decision is different from the second decision, or either the first or second decisions are accepted.

摘要翻译： 提供数据分析方法。 专家系统从至少第一源接收输入。 数据由专家系统导入和分析，其中专家系统作出至少一个第一决定，其基于规则库来表征数据。 所述至少一个第一决定是可由第一来源的第一输入显示和修改的。 响应于来自第一源的第一输入，规则库可以被重新应用以做出至少一个第二决定，其中所述至少一个第二决定不同于所述至少一个第一决定，或者所述至少一个第一决定 决定可能被接受。 响应于来自第二源的第一输入，至少一个第一决定或至少一个第二决定然后可显示和修改。 响应于来自第二来源的第一输入，规则库被重新应用以做出至少一个第三决定，其中第三决定不同于第二决定，或者接受第一或第二决定。