Abstract: Techniques for determining a microbial classification based on a mass spectrum are disclosed. A mass spectrometer generates a mass spectrum for a biological sample. A binning function is applied to the mass spectrum to generate a binned mass spectrum. As an example, a binned mass spectrum is associated with a set of bins having mass errors of the same value. A classification algorithm is applied to the binned mass spectrum to determine a microbial classification.

Abstract: A method for analyzing a multidimensional data set includes generating a multidimensional mass spectrometry data set from a sample; and generating an matrix representing the multidimensional mass spectrometry data set such that a first dimension and a second dimension of the multidimensional mass spectrometry data set correspond to a matrix cell location, and an ion intensity corresponds to a matrix cell value; and determining a class of the matrix from a plurality of matrix classes using a trained neural network matrix classifier.

Abstract: A mass spectrometric analysis method comprises: (1) processing a mass spectrum to reduce the signals to monoisotopic values; (2) creating a list of differences between the monoisotopic values; (3) creating one or more lists of theoretical mass-to-charge differences among known adducts, charge states and polymerization states whose formation may be expected from various analyte molecules; (4) comparing the theoretical differences (line or edge in the network) to the list of differences from the mass spectrum and, where applicable, make and tabulate tentative species assignments; (5) assigning the mass spectral peaks to respective ion species in accordance with the redundancy of each assignment based on multiple independent calculated mass-to-charge differences pertaining to each peak; (6) choosing an ion species for further fragmentation or reaction in the mass spectrometer, based on the assigning; and (7) performing the fragmentation or reaction on the chosen ion species in the mass spectrometer.

Abstract: A mass spectrometric analysis method comprises: (1) processing a mass spectrum to reduce the signals to monoisotopic values; (2) creating a list of differences between the monoisotopic values; (3) creating one or more lists of theoretical mass-to-charge differences among known adducts, charge states and polymerization states whose formation may be expected from various analyte molecules; (4) comparing the theoretical differences (line or edge in the network) to the list of differences from the mass spectrum and, where applicable, make and tabulate tentative species assignments; and (5) assigning the mass spectral peaks to respective ion species in accordance with the redundancy of each assignment based on multiple independent calculated mass-to-charge differences pertaining to each peak.

Abstract: The present invention relates to biomarkers in maternal serum samples and methods for predicting whether a fetus has Trisomy 21 during the first trimester of pregnancy based on the differential expression of a combination, or subcombination, of the same.