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: The present disclosure provides methods of identifying and quantifying the peptides displayed by the major histocompatibility complex (MHC). Such methods may comprise the ability to determine the type, identity, and quantity of each peptide displayed by the MHC. In some embodiments, these methods may be used to develop an anti-cancer therapy or type the HLA of a patient. Also provided herein are compositions comprising peptides from the MHC which have been prepared for sequencing.

Abstract: The present disclosure provides methods of identifying and quantifying the peptides displayed by the major histocompatibility complex (MHC). Such methods may comprise the ability to determine the type, identity, and quantity of each peptide displayed by the MHC. In some embodiments, these methods may be used to develop an anti-cancer therapy or type the HLA of a patient. Also provided herein are compositions comprising peptides from the MHC which have been prepared for sequencing.

Abstract: A system for providing mechanical stabilization with automated corrections for stationary or mobile surveillance platforms comprises: a telescoping mast that supports a sensor package containing a camera, surveillance radar, a pan tilt unit, and a tilt sensor with a precision compass. Stabilization involves hardware and software enhancements to conventional surveillance systems. Mast stabilization is achieved by a mechanical guy-wire arrangement which provides for both anti-twist and anti-sway support of the mast upper end through a crisscrossed guy wire arrangement. Eight different software algorithms contribute to stability and highly accurate and rapid slewing of the surveillance equipment. A mast tilt calibration algorithm in combination with a calibration sensor package provides for automatic electronic leveling of the camera with dwells at predetermined pan angles.