Method for analyzing mass spectra
AssigneeCiphergen Biosystems, Inc.
InventorsChris D. Paulse, Edward J. Gavin, Leonid Braginsky, William E. Rich, Eric T. Fung
Life of this patent
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Abstract
A method that analyzes mass spectra using a digital computer is disclosed. The method includes entering into a digital computer a data set obtained from mass spectra from a plurality of samples. Each sample is, or is to be assigned to a class within a class set having two or more classes and each class is characterized by a different biological status. A classification model is then formed. The classification model discriminates between the classes in the class set.
Claims102
A method that analyzes mass spectra using a digital computer, the method comprising:
- a) entering into the digital computer a data set obtained from mass spectra from a plurality of samples, wherein each sample is, or is to be assigned to a class within a class set comprising two or more classes, each class characterized by a different biological status, and wherein each mass spectrum comprises data representing signal strength as a function of time-of-flight, mass-to-charge ratio, or a value derived from time-of-flight or mass-to-charge ratio;
- and
- b) forming a classification model which discriminates between the classes in the class set, wherein forming comprises analyzing the data set by executing code that embodies a classification process comprising a recursive partitioning process, which is a classification and regression tree process.
A method that analyzes mass spectra using a digital computer, the method comprising:
- a) entering into the digital computer a data set obtained from mass spectra from a plurality of samples, wherein each sample is, or is to be assigned to a class within a class set comprising two or more classes, each class characterized by a different biological status, and wherein each mass spectrum comprises data representing signal strength as a function of time-of-flight, mass-to-charge ratio, or a value derived from time-of-flight or mass-to-charge ratio;
- and
- b) forming a classification model which discriminates between the classes in the class set, wherein forming comprises analyzing the data set by executing code that embodies a classification process comprising a recursive partitioning process, and
- wherein the method further comprises forming the data set, wherein forming the data set comprises obtaining raw data from the mass spectra and then preprocessing the raw mass spectra data to form the data set.
A system comprising:
- a gas phase ion spectrometer;
- a digital computer adapted to process data from the gas phase ion spectrometer;
- and
- a computer readable medium in operative association with the digital computer, wherein the computer readable medium comprises a) code for entering a data set derived from mass spectra from a plurality of samples, wherein each sample is, or is to be assigned to a class within a class set of two or more classes, each class characterized by a different biological status, and wherein each mass spectrum comprises data representing signal strength as a function of time-of-flight, mass-to-charge ratio or a value derived from mass-to-charge ratio or time-of-flight, and b) code for forming a classification model using a classification process, the classification process comprising a recursive partitioning process, wherein the classification model discriminates between the classes in the class set.
Dependencies are inferred from the claim text.