Weight and Diet Attribute Combination Discovery
First Claim
1. A computer program storage device readable by a machine and containing a set of instructions which, when read by the machine, causes execution of a bioinformatics method for generating a compilation containing combinations of pangenetic and non-pangenetic attributes that co-associate with a diet and weight related query attribute associated with an individual, comprising:
- a) receiving the diet and weight related query attribute which identifies, within a computer memory, a set of query-attribute-positive attribute profiles associated with query-attribute-positive individuals and a set of query-attribute-negative attribute profiles associated with query-attribute-negative individuals, wherein the attribute profiles comprise pangenetic attributes and non-pangenetic attributes;
b) accessing attribute profiles of query-attribute-positive individuals and attribute profiles of query-attribute-negative individuals, wherein the attribute profiles comprise pangenetic attributes and non-pangenetic attributes, wherein the accessing includes choosing at least one query-attribute-positive attribute profile from the set of query-attribute-positive attribute profiles and at least one query-attribute-negative profile from the set of query-attribute-negative attribute profiles;
c) determining a set of candidate attributes comprising attributes from the at least one query-attribute-positive attribute profile of at least one query-attribute-positive individual that do not occur in the attribute profiles of at least a portion of the set of query-attribute-negative individuals attribute profiles;
d) determining the frequencies of occurrence of combinations of candidate attributes in the set of attribute profiles of the query-attribute-positive attribute profiles individuals and in the set of attribute profiles of the query-attribute-negative attribute profiles individuals, wherein each of the combinations of candidate attributes contains at least one pangenetic attribute and at least one non-pangenetic attribute selected from the set of candidate attributes;
e) storing, within a computer memory, the combinations of candidate attributes having higher frequencies of occurrence in the set of attribute profiles of the query-attribute-positive attribute profiles individuals than in the set of attribute profiles of the query-attribute-negative attribute profiles individuals to generate a compilation of attribute combinations that co-associate with the query attribute;
f) storing, in the compilation, corresponding statistical results that are computed based on the frequencies of occurrence to indicate the strength of association of each of the attribute combinations in the compilation with the query attribute; and
g) generating a set of attribute profiles containing combinations of pangenetic and non-pangenetic attributes that co-associate with the query attribute and which provide a pangenetic and non-pangenetic based weight related dietary recommendation.
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Accused Products
Abstract
A method and system are presented in which a query attribute is used as the basis for accessing stored attribute combinations and their frequencies of occurrence for query-attribute-positive individuals and query-attribute-negative individuals and tabulating, based on frequencies of occurrence, those attribute combinations that are most likely to co-occur with the query attribute.
93 Citations
15 Claims
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1. A computer program storage device readable by a machine and containing a set of instructions which, when read by the machine, causes execution of a bioinformatics method for generating a compilation containing combinations of pangenetic and non-pangenetic attributes that co-associate with a diet and weight related query attribute associated with an individual, comprising:
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a) receiving the diet and weight related query attribute which identifies, within a computer memory, a set of query-attribute-positive attribute profiles associated with query-attribute-positive individuals and a set of query-attribute-negative attribute profiles associated with query-attribute-negative individuals, wherein the attribute profiles comprise pangenetic attributes and non-pangenetic attributes; b) accessing attribute profiles of query-attribute-positive individuals and attribute profiles of query-attribute-negative individuals, wherein the attribute profiles comprise pangenetic attributes and non-pangenetic attributes, wherein the accessing includes choosing at least one query-attribute-positive attribute profile from the set of query-attribute-positive attribute profiles and at least one query-attribute-negative profile from the set of query-attribute-negative attribute profiles; c) determining a set of candidate attributes comprising attributes from the at least one query-attribute-positive attribute profile of at least one query-attribute-positive individual that do not occur in the attribute profiles of at least a portion of the set of query-attribute-negative individuals attribute profiles; d) determining the frequencies of occurrence of combinations of candidate attributes in the set of attribute profiles of the query-attribute-positive attribute profiles individuals and in the set of attribute profiles of the query-attribute-negative attribute profiles individuals, wherein each of the combinations of candidate attributes contains at least one pangenetic attribute and at least one non-pangenetic attribute selected from the set of candidate attributes; e) storing, within a computer memory, the combinations of candidate attributes having higher frequencies of occurrence in the set of attribute profiles of the query-attribute-positive attribute profiles individuals than in the set of attribute profiles of the query-attribute-negative attribute profiles individuals to generate a compilation of attribute combinations that co-associate with the query attribute; f) storing, in the compilation, corresponding statistical results that are computed based on the frequencies of occurrence to indicate the strength of association of each of the attribute combinations in the compilation with the query attribute; and g) generating a set of attribute profiles containing combinations of pangenetic and non-pangenetic attributes that co-associate with the query attribute and which provide a pangenetic and non-pangenetic based weight related dietary recommendation. - View Dependent Claims (2, 3, 4, 5)
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6. A computer based method for determining a genetic based weight loss diet for a subject comprising:
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a) receiving a weight loss related query which identifies, in a computer memory, a set of profiles of individuals intentionally and successfully having lost weight, wherein the profiles contain pangenetic attributes and diet attributes, and an identifier for the subject; b) accessing, based on the identifier, a set of pangenetic attributes for the subject; c) selecting a set of candidate profiles from individuals having intentionally and successfully lost weight, wherein the set of candidate profiles have similar pangenetic attributes to that of the subject; d) determining a set of diet attributes which are commonly present in the first set of individuals profiles for individuals having intentionally and successfully lost weight; and f) creating, from the set of diet attributes which are present in the set of candidate profiles, a recommended set of diet attributes for the subject, wherein the diet attributes are pangenetically matched to the subject for weight loss. - View Dependent Claims (7, 8, 9, 10)
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11. A bioinformatics database system for generating a compilation containing combinations of pangenetic and non-pangenetic attributes that co-associate with a diet and weight related query comprising:
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a) a memory containing;
a first data structure containing attribute profiles of query-attribute-positive individuals and attribute profiles of query-attribute-negative associated with individuals, wherein the attribute profiles comprise pangenetic attributes and non-pangenetic attributes;b) a processor for; i) receiving the diet and weight related query attribute which identifies, within the first data structure, a set of query-attribute-positive attribute profiles associated with query-attribute-positive individuals and a set of query-attribute-negative attribute profiles associated with query-attribute-negative individuals; ii) accessing the first data structure and choosing at least one query-attribute-positive attribute profile from the set of query-attribute-positive attribute profiles and at least one query-attribute-negative attribute profile from the set of query-attribute-negative attribute profiles; iii) determining a set of candidate attributes comprising attributes from the at least one query-attribute-positive attribute profile of at least one query-attribute-positive individual that do not occur in the attribute profiles of at least a portion of the subset of query-attribute-negative individuals attribute profiles; iv) determining the frequencies of occurrence of combinations of candidate attributes in the set of attribute profiles of the query-attribute-positive attribute profiles individuals and in the set of attribute profiles of the query-attribute-negative attribute profiles individuals, wherein each of the combinations of candidate attributes contains at least one pangenetic attribute and at least one non-pangenetic attribute selected from the set of candidate attributes; v) storing, to generate a second data structure in the memory based on statistical results to indicate strength of association, the combinations of candidate attributes having higher frequencies of occurrence in the set of attribute profiles of the query-attribute-positive attribute profile individuals than in the set of attribute profiles of the query-attribute-negative attribute profile individuals to generate a compilation of attribute combinations that co-associate with the query attribute; and c) generating, based on the strength of association of the combinations of candidate attributes having higher frequencies of occurrence in the set of attribute profiles of the query-attribute-positive profile individuals than in the set of attribute profiles of the query-attribute-negative profiles individuals, a pangenetic and non-pangenetic based set of diet and weight attributes. - View Dependent Claims (12, 13, 14, 15)
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Specification