Abstract: In some implementations, a classification system may receive credentials associated with a data source and may receive, from the data source and using the credentials, a set of structured data including input events and output events. The classification system may filter the set of structured data by applying a first set of rules to generate a filtered set of structured data and may convert the filtered set of structured data to one or more numerical vectors, where a vector space associated with the one or more numerical vectors is infinite-dimensional. The classification system may further cluster the one or more numerical vectors using a first machine learning model to generate one or more clusters. Accordingly, the classification system may determine one or more classifications based on the set of structured data, each of the one or more classifications being associated with a corresponding frequency and a corresponding category.

Abstract: Systems and methods for storing and querying user event data record information about user events in data pairs that are tied to specific days of the year. Storing the user event data in this fashion makes it easy to conduct very rapid queries to identify those users who satisfy certain criteria.

Abstract: This invention pertains to methods for promoting stable and site-specific integration of rep deleted recombinant adeno-associated virus vectors which result in less variable transgene expression and increased safety. These vectors are useful for delivery of a functional gene product to the desired intracellular location.

Abstract: This invention pertains to methods for promoting stable and site-specific integration of rep deleted recombinant adeno-associated virus vectors which result in less variable transgene expression and increased safety. These vectors are useful for delivery of a functional gene product to the desired intracellular location.