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Lucio A Cetto

from Chula Vista, CA
Age ~55

Lucio Cetto Phones & Addresses

  • Chula Vista, CA
  • 3 Macarthur Rd, Natick, MA 01760
  • Boston, MA
  • Quincy, MA

Publications

Us Patents

Methods And Systems For Classifying Mass Spectra

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US Patent:
7359805, Apr 15, 2008
Filed:
Apr 26, 2007
Appl. No.:
11/789841
Inventors:
Lucio Cetto - Boston MA, US
Assignee:
The MathWorks, Inc. - Natick MA
International Classification:
G06F 19/00
US Classification:
702 30, 250288, 436171
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.

Alignment Of Mass Spectrometry Data

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US Patent:
7365311, Apr 29, 2008
Filed:
Sep 8, 2005
Appl. No.:
11/221474
Inventors:
Lucio Cetto - Boston MA, US
Assignee:
The MathWorks, Inc. - Natick MA
International Classification:
H01J 49/00
G06F 19/00
US Classification:
250282, 702 23, 702 30, 702 85, 702 76, 436173
Abstract:
Methods, systems and mediums are disclosed for aligning mass spectrometry data before the analysis of the mass spectrometry data. The mass spectrometry data may be received from a mass spectrometry machine, and re-sampled using a smooth warping function. To estimate the warping function, a synthetic signal is build using, for example, Gaussian pulses centered at a set of reference peaks. The reference peaks may be designated by users or calculated after observing a group of spectrograms. The synthetic signal is shifted and scaled so that the cross-correlation between the mass spectrometry data and the synthetic signal reaches its maximum value.

Methods And Systems For Classifying Mass Spectra

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US Patent:
7672792, Mar 2, 2010
Filed:
Dec 7, 2007
Appl. No.:
11/999897
Inventors:
Lucio Cetto - Boston MA, US
Assignee:
The MathWorks, Inc. - Natick MA
International Classification:
G01N 31/00
US Classification:
702 30, 436171
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 may be 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.

Alignment Of Mass Spectrometry Data

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US Patent:
8280661, Oct 2, 2012
Filed:
Apr 25, 2008
Appl. No.:
12/109704
Inventors:
Lucio Cetto - Boston MA, US
Assignee:
The Mathworks, Inc. - Natick MA
International Classification:
G06F 19/00
US Classification:
702 66, 702 27, 702 32
Abstract:
Methods, systems and mediums are disclosed for aligning mass spectrometry data before the analysis of the mass spectrometry data. The mass spectrometry data may be received from a mass spectrometry machine, and re-sampled using a smooth warping function. To estimate the warping function, a synthetic signal is build using, for example, Gaussian pulses centered at a set of reference peaks. The reference peaks may be designated by users or calculated after observing a group of spectrograms. The synthetic signal is shifted and scaled so that the cross-correlation between the mass spectrometry data and the synthetic signal reaches its maximum value.

Methods And Systems For Classifying Mass Spectra

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US Patent:
7228239, Jun 5, 2007
Filed:
Dec 22, 2004
Appl. No.:
11/021910
Inventors:
Lucio Cetto - Boston MA, US
Assignee:
The Mathworks, Inc. - Natick MA
International Classification:
G03F 19/00
US Classification:
702 30, 436171
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.
Lucio A Cetto from Chula Vista, CA, age ~55 Get Report