Abstract: A method and system for determining attribute associations are presented in which primary attributes in an attribute profile are used to derive secondary attributes which are added to the attribute profile to create expanded attribute profile. A statistical association between a query attribute and attribute combinations occurring in the expanded attribute profile is determined.

Abstract: A method, software, database and system for determining optimal career choices, psychological profiles (i.e., mental health profiles) and genetic based predispositions of an individual are presented in which an attribute profile of the individual containing genetic and non-genetic attributes is compared against a database containing combinations of genetic and non-genetic attributes that are statistically associated with career, psychological and other genetically influenced attributes derived from other individuals.

Abstract: A method, software, database and system for attribute partner identification and social network based attribute analysis are presented in which attribute profiles associated with individuals can be compared and potential partners identified. Connections can be formed within social networks based on analysis of genetic and non-genetic data. Degrees of attribute separation (genetic and non-genetic) can be utilized to analyze relationships and to identify individual who might benefit from being connected.

Abstract: A method and system are presented in which the attributes associated with individuals having a query attribute of interest (query-attribute-positive individuals) are compared against attributes associated with individuals not having the query attribute of interest (query-attribute-negative individuals) to create to create a compilation of attribute combinations that co-occur with the query attribute.

Abstract: A method, software, database and system for determining an optimal treatment for an illness in an individual and for determining the impact (e.g., side effects and intended benefits) of the treatment in the individual are presented in which an attribute profile of the individual containing genetic and non-genetic attributes is compared against a database containing combinations of genetic and non-genetic attributes that are statistically associated with successful treatment of the illness in other individuals.

Abstract: A method and system for computer based destiny modification are presented in which a set of attributes associated with an individual is compared against attribute combinations that are statistically associated with a query attribute, the query attribute representing an attribute which may desirable for the individual to have, or which may be undesirable for the individual have. Based on the comparison, changes to the set of attributes associated with the individual are indicated and can then be implemented to increase/decrease the potential of the individual to acquire (an association with) the query attribute.

Abstract: A method and system are presented in which stored attribute combinations and statistical results that indicate the strength of association of each attribute combination with the query attribute are accessed, and attribute combinations and their strength of association with the query attribute are tabulated based on the statistical results.

Abstract: A bioinformatics method, software, database and system are presented in which statistical predictions are generated to indicate an individual's predisposition toward each of a plurality of query attributes (i.e., attributes of interest). The predictions are generated based on the identification of predisposing attribute combinations within the attribute profile of the individual and corresponding statistical results which indicate the strength of association of those predisposing attribute combinations with the query attributes.

Abstract: A method and system for expanding attribute profiles are presented in which primary attributes from one or more attribute profiles are used to derive secondary attributes which are added to the respective attribute profiles to generate expanded attribute profiles. The expanded attribute profiles are generated to increase the strength of association of a query attribute with one or more attribute profiles associated with query-attribute-positive individuals.

Abstract: A bioinformatics method, software, database and system for compiling attribute combinations that co-associate with a query attribute (i.e., an attribute of interest) are presented in which expanded attribute profiles associated with a group of query-attribute-positive individuals and expanded attribute profiles associated with a group of query-attribute-negative individuals are accessed, and combinations of attributes having a higher frequency of occurrence in the set of expanded attribute profiles associated with the group of query-attribute-positive individuals are identified and stored to generate a compilation of attribute combinations that co-associate with the query attribute.

Abstract: A bioinformatics method, software, database and system are presented in which an expanded attribute profile is used to determine the strength of association between an individual and a query attribute (i.e., an attribute of interest). Primary attributes in an attribute profile of the individual are used as the basis for deriving lower resolution secondary attributes which are added to the attribute profile to create an expanded attribute profile. The strength of association between the individual and the query attribute is determined based on the identification of one or more attribute combinations in the expanded attribute profile that also occur in a dataset containing attribute combinations that are statistically associated with the query attribute.

Abstract: A method, software, database and system are presented in which attribute profiles of query-attribute-positive individuals and query-attribute-negative individuals are compared, and combinations of attributes that occur at a higher frequency in the group of query-attribute-positive individuals are identified and stored to generate a compilation of attribute combinations that co-associate with the query attribute (i.e., an attribute of interest). Several computationally efficient approaches for identifying the attribute combinations are incorporated.

Abstract: A bioinformatics method, software, database and system are presented in which attribute profiles of query-attribute-positive individuals and query-attribute-negative individuals are compared, and combinations of pangenetic and non-pangenetic attributes that occur at a higher frequency in the group of query-attribute-positive individuals are identified and stored to generate a compilation of bioattribute combinations that co-associate with the query attribute (i.e., an attribute of interest). Several computationally efficient approaches for identifying the bioattribute combinations are incorporated.

Abstract: A method and system are presented in which statistical predictions are generated to indicate whether an individual has or will acquire an attribute designated in a query. The predictions are generated based on a first set of attributes associated with the individual and a second set of attribute combinations and statistical results that indicate the strength of association of each attribute combination with the query attribute.

Abstract: A bioinformatics method, software, database and system are presented in which attribute profiles of query-attribute-positive individuals and query-attribute-negative individuals are compared, and combinations of pangenetic and non-pangenetic attributes that occur at a higher frequency in the group of query-attribute-positive individuals are identified and stored to generate a compilation of bioattribute combinations that co-associate with the query attribute (i.e., an attribute of interest).

Abstract: A method, software, database and system for determining approaches for an individual to achieve a goal or prevent an undesired outcome are presented in which an attribute profile of the individual containing genetic and non-genetic attributes is compared against a database containing combinations of genetic and non-genetic attributes that are statistically associated with successful goal achievement or outcome prevention in other individuals.

Abstract: A bioinformatics method, software, database and system are presented in which combinations of pangenetic and non-pangenetic attributes that are most likely to co-associate with a query attribute (i.e., an attribute of interest) are identified from a database containing attribute combinations and corresponding statistical results that indicate the strength of association of the attribute combinations with the query attribute.

Abstract: A method, software, database and system for diagnosing various phenotypes including illnesses, conditions, physical traits and features, and characteristics such as strengths and weaknesses of an individual are presented in which an attribute profile containing genetic and non-genetic attributes associated with an individual can be compared against a database containing combinations of genetic and non-genetic attributes that are statistically associated with the phenotypes in order to determine the potential that the individual currently possesses or will eventually develop one or more of the phenotypes.

Abstract: A method, software, database and system for determining an approach to achieve a desired lifestyle, behavioral disposition, and genetic based predisposition for an individual are presented in which an attribute profile of the individual containing genetic and non-genetic attributes is compared against a database containing combinations of genetic and non-genetic attributes that are statistically associated with relevant desirable or undesirable attributes derived from other individuals.

Abstract: A method and system for compiling attribute combinations are presented in which expanded attribute profiles associated with a group of query-attribute-positive individuals and expanded attribute profiles associated with a group of query-attribute-negative individuals are accessed, and combinations of attributes having a higher frequency of occurrence in the set of expanded attribute profiles associated with the group of query-attribute-positive individuals are identified. The identified attribute combinations and corresponding statistical results can then be stored to create a compilation of attribute combinations that co-occur with the query attribute.