Enhanced metabolite annotation via dynamic retention time prediction: Steroidogenesis alterations as a case study-Reference-Cited by-同舟云学术

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Enhanced metabolite annotation via dynamic retention time prediction: Steroidogenesis alterations as a case study

Published:2017-12 Issue: Volume:1071 Page:11-18
ISSN:1570-0232
Container-title:Journal of Chromatography B
language:en
Short-container-title:Journal of Chromatography B

Author:

Randazzo Giuseppe Marco,Tonoli David,Strajhar Petra,Xenarios Ioannis,Odermatt Alex,Boccard Julien,Rudaz Serge

Funder

Swiss Centre for Applied Human Toxicology

Novartis Research Foundation

Swiss National Science Foundation

Publisher

Elsevier BV

Subject

Cell Biology,Clinical Biochemistry,Biochemistry,General Medicine,Analytical Chemistry

Reference44 articles.

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2. Noninvasive urinary metabolomic profiling identifies diagnostic and prognostic markers in lung cancer;Mathe;Cancer Res.,2014

3. Metabolome analysis for discovering biomarkers of gastroenterological cancer;Suzuki;J. Chromatogr. B Anal. Technol. Biomed. Life Sci.,2014

4. Toward merging untargeted and targeted methods in mass spectrometry-based metabolomics and lipidomics;Cajka;Anal. Chem.,2016

5. Quantification of glucuronidated and sulfated steroids in human urine by ultra-high pressure liquid chromatography quadrupole time-of-flight mass spectrometry;Badoud;Anal. Bioanal. Chem.,2011

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