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- Title
pJRES Binning Algorithm (JBA): a new method to facilitate the recovery of metabolic information from pJRES 1 H NMR spectra.
- Authors
Rodriguez-Martinez, Andrea; Ayala, Rafael; Posma, Joram M; Harvey, Nikita; Jiménez, Beatriz; Sonomura, Kazuhiro; Sato, Taka-Aki; Matsuda, Fumihiko; Zalloua, Pierre; Gauguier, Dominique; Nicholson, Jeremy K; Dumas, Marc-Emmanuel
- Abstract
Motivation Data processing is a key bottleneck for 1H NMR-based metabolic profiling of complex biological mixtures, such as biofluids. These spectra typically contain several thousands of signals, corresponding to possibly few hundreds of metabolites. A number of binning-based methods have been proposed to reduce the dimensionality of 1 D 1H NMR datasets, including statistical recoupling of variables (SRV). Here, we introduce a new binning method, named JBA ("pJRES Binning Algorithm"), which aims to extend the applicability of SRV to pJRES spectra. Results The performance of JBA is comprehensively evaluated using 617 plasma 1H NMR spectra from the FGENTCARD cohort. The results presented here show that JBA exhibits higher sensitivity than SRV to detect peaks from low-abundance metabolites. In addition, JBA allows a more efficient removal of spectral variables corresponding to pure electronic noise, and this has a positive impact on multivariate model building Availability and implementation The algorithm is implemented using the MWASTools R/Bioconductor package. Supplementary information Supplementary data are available at Bioinformatics online.
- Subjects
ELECTRONIC noise; METABOLIC profile tests; ALGORITHMS; INFORMATION storage &; retrieval systems; BINS
- Publication
Bioinformatics, 2019, Vol 35, Issue 11, p1916
- ISSN
1367-4803
- Publication type
Article
- DOI
10.1093/bioinformatics/bty837