COMPUTER-IMPLEMENTED METHODS AND SYSTEMS FOR IDENTIFYING A SPECIES FROM MASS SPECTRA

Patent №

US 11,798,656

Granted

2023-10-24

Filed 2020

Owner

BOARD OF REGENTS OF THE NEVADA SYSTEM OF HIGHER EDUCATION, ON BEHALF OF THE UNIVERSITY OF NEVADA, RENO

+1 more

Lab

AI components

3

ml · vision · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16748315

One aspect of the invention provides a computer-implemented method of identifying a species from mass spectra. The computer-implemented method includes: loading a data set including a species and associated mass spectra into memory on a computer; for each of the associated mass spectra, pre-processing to identify ranks of intensities of an in-bin peak across bins defining ranges of mass-to-charge ratio; and training a species binary classifier for each of a plurality of species using at least the ranks of intensities. Another aspect of the invention provides a system for identifying a species from mass spectra. The system includes: a processor; and computer-readable memory containing instructions to: implement an interface programmed to receive mass spectra; store the mass spectra in the computer-readable memory; and invoke execution of any of the methods described herein on the processor.

Machine learningVisionAI hardwareG16C 20/20G06N 20/20H01J 49/0036G06N 7/01G16C 20/70

AI classification

AI hardware0.99
Machine learning0.99
Vision0.84
Knowledge representation0.02
Natural language0.01
Evolutionary computation0.00
Planning0.00
Speech0.00

Ownership

BOARD OF REGENTS OF THE NEVADA SYSTEM OF HIGHER EDUCATION, ON BEHALF OF THE UNIVERSITY OF NEVADA, RENO

assignment · 521270611

NEVADA RESEARCH & INNOVATION CORPORATION

assignment · 570240609

Assignors

RYU, SO YOUNG

On an employer assignment, the assignors are typically the inventors.

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