Method of creating characteristic peak profiles of mass spectra and identification model for analyzing and identifying microorganizm
US10930371B2 · kind B2 · utility
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Key dates
| Filing date | Jul 10, 2017 |
| Grant date | Feb 23, 2021 |
| Priority date | — |
| Expiry date | Dec 16, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method of creating characteristic peak profiles of mass spectra and identification model for analyzing and identifying microorganisms are provided. MALDI-TOF MS data of microorganisms having the same feature are gathered. Discretization of the data is performed. Density-based clustering is used to find m/z values of spectral peaks with high probability of occurrence from the discretized data. A characteristic MS peak profile is created for every specific feature of microorganisms. Every such a characteristic profile forms a feature template. The mass spectrum of each known isolate is matched against all the feature templates and a number of matched vectors are obtained. The matched vectors are then concatenated into a single “integrated vector.” Then, a machine learning method and the integrated vectors generated from all known isolates are used to create a classification model for microorganism identification.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.