Utilization of a natural language processing-based approach to determine the composition of artifact residues
Utilizing an NLP-based approach, we developed a robust algorithm for characterizing the composition of artifact residues. This work also discusses other general applications in which our algorithm could be used in the field of metabolomics, such as datasets where there are a limited number of replicates.
Authors
- Korey J. Brownstein
- Tung Tho Nguyen
Institutions
- University of Chicago (US)
Publication Details
- Journal
- BMC Bioinformatics
- Published
- 2024-09-27
- DOI
- https://doi.org/10.1186/s12859-024-05888-2
- Citations
- 1
- Primary Topic
- Metabolomics and Mass Spectrometry Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.23
Funders
- National Science Foundation
- U.S. Department of Agriculture
- Burroughs Wellcome Fund
- Agricultural Research Service