Invention Grant
- Patent Title: Mass spectrometry extraction and selection pipeline for machine learning
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Application No.: US17750245Application Date: 2022-05-20
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Publication No.: US12327716B2Publication Date: 2025-06-10
- Inventor: Mohit Jain , Saumya Tiwari , Jeramie Watrous
- Applicant: Sapient Bioanalytics, LLC
- Applicant Address: US CA San Diego
- Assignee: Sapient Bioanalytics, LLC
- Current Assignee: Sapient Bioanalytics, LLC
- Current Assignee Address: US CA San Diego
- Agency: Sheppard Mullin Richter & Hampton LLP
- Main IPC: H01J49/00
- IPC: H01J49/00

Abstract:
Systems and methods are provided for obtaining raw mass spectrometry data from samples, determining signals present across the samples, and separating the raw mass spectrometry data into discrete intervals in each of the samples. At each interval of the discrete intervals of the raw mass spectrometry data, a local highest intensity signal, relative to any other signal within each interval, is determined, and a frequency of occurrence of each local highest intensity signal across the samples is determined. A subset of local highest intensity signals is retrieved based on respective frequencies of occurrence of the local highest intensity signals. The subset of the local highest intensity signals is ingested into a machine learning model.
Public/Granted literature
- US20230377860A1 MASS SPECTROMETRY EXTRACTION AND SELECTION PIPELINE FOR MACHINE LEARNING Public/Granted day:2023-11-23
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