ADAP-GC 3.0: Improved Peak Detection and Deconvolution of Co-eluting Metabolites from GC/TOF-MS Data for Metabolomics Studies.
Ni, Yan; Su, Mingming; Qiu, Yunping; Jia, Wei; Du, Xiuxia.
; 88(17): 8802-11, 2016 09 06.
Artigo em Inglês | MEDLINE | ID: mdl-27461032
ADAP-GC 2.0: deconvolution of coeluting metabolites from GC/TOF-MS data for metabolomics studies.
A Novel Strategy for Large-Scale Metabolomics Study by Calibrating Gross and Systematic Errors in Gas Chromatography-Mass Spectrometry.
ADAP-GC 3.2: Graphical Software Tool for Efficient Spectral Deconvolution of Gas Chromatography-High-Resolution Mass Spectrometry Metabolomics Data.
Review of recent developments in GC-MS approaches to metabolomics-based research.
Extending the Dynamic Range in Metabolomics Experiments by Automatic Correction of Peaks Exceeding the Detection Limit.
An automated data analysis pipeline for GC-TOF-MS metabonomics studies.
Metabolite Measurement: Pitfalls to Avoid and Practices to Follow.
Mixture model normalization for non-targeted gas chromatography/mass spectrometry metabolomics data.
Development of a target component extraction method from GC-MS data with an in-house program for metabolite profiling.
Avoiding hard chromatographic segmentation: A moving window approach for the automated resolution of gas chromatography-mass spectrometry-based metabolomics signals by multivariate methods.