NCJ Number
303983
Journal
Nature Biotechnology Volume: 39 Issue: 2 Dated: 2021
Date Published
2021
Annotation
The current project engineered a machine-learning approach, MSHub, to enable auto-deconvolution of gas chromatography–mass spectrometry (GC–MS) data.
Abstract
It then designed workflows to enable the community to store, process, share, annotate, compare, and perform molecular networking of GC–MS data within the Global Natural Product Social (GNPS) Molecular Networking analysis platform. MSHub/GNPS performs auto-deconvolution of compound fragmentation patterns via unsupervised non-negative matrix factorization and quantifies the reproducibility of fragmentation patterns across samples. (publisher abstract modified)
Date Published: January 1, 2021
Downloads
Similar Publications
- How the Work Being Done on Statistical Fingerprint Models Provides the Basis for a Much Broader and Greater Impact Affecting Many Areas within the Criminal Justice System
- Mitochondrial DNA Control Region Variation in a Kuwaiti Population Sample
- Harmonizing the Forensic Nomenclature for STR Loci D6S474 and DYS612