Methods and systems for classifying mass spectra

Details Methods and systems for classifying mass spectra Methods and systems for classifying mass spectra

2008-04-15

2008-04-15

Raymond, Edward (Department: 2857)

Data processing: measuring, calibrating, or testing

Measurement system in a specific environment

Chemical analysis

C250S288000, C436S171000

Reexamination Certificate

active

11789841

ABSTRACT:
Methods and systems are disclosed for classifying mass spectra to discriminate the absence or existence of a condition. The mass spectra may include raw mass spectrum intensity signals or may include intensity signals that have been preprocessed. The method and systems include determining a first or higher order derivative of the signals of the mass spectra, or any linear combination of the signal and a derivative of the signal, to form a mass spectra data set for training a classifier. The mass spectra data set is provided as input to train a classifier, such as a linear discrimination classifier. The classifier trained with the derivative-based mass spectra data set then classifies mass spectra samples to improve discriminating between the absence or existence of a condition.

REFERENCES:
patent: 2004/0245455 (2004-12-01), Reinhold
patent: 2005/0143928 (2005-06-01), Moser et al.

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