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.
AI classification
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.