| 摘要 |
A bioinformatics method, software, database and system for predicting side effects resulting from predisposition modification are presented in which a set of attributes is used to modify an individual's attribute profile to generate a modified attribute profile. The modified attribute profile is compared against a predetermined set of attribute combinations that are statistically associated with one or more candidate side effect attributes. Attribute combinations from the set that also occur in the modified attribute profile are identified, and those candidate side effect attributes that are statistically associated with the identified attribute combinations are stored as a set of predicted side effect attributes resulting from modification of the individual's attribute profile.
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