Application of Fragment Ion Information as Further Evidence in Probabilistic Compound Screening Using Bayesian Statistics and Machine Learning: A Leap Toward Automation-Reference-Cited by-同舟云学术

Application of Fragment Ion Information as Further Evidence in Probabilistic Compound Screening Using Bayesian Statistics and Machine Learning: A Leap Toward Automation

Published:2016-07-20 Issue:15 Volume:88 Page:7705-7714
ISSN:0003-2700
Container-title:Analytical Chemistry
language:en
Short-container-title:Anal. Chem.

Author:

Woldegebriel Michael¹,Zomer Paul²,Mol Hans G. J.²,Vivó-Truyols Gabriel¹

Affiliation:

1. Analytical Chemistry, Van’t Hoff Institute for Molecular Sciences, University of Amsterdam P.O. Box 94720, 1090 GE Amsterdam, The Netherlands

2. RIKILT Wageningen UR, P.O. Box 230, 6700 AE Wageningen, The Netherlands

Funder

Nederlandse Organisatie voor Wetenschappelijk Onderzoek

Publisher

American Chemical Society (ACS)

Subject

Analytical Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.analchem.6b01630

Reference34 articles.

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4. Simultaneous screening of targeted and non-targeted contaminants using an LC-QTOF-MS system and automated MS/MS library searching

5. Applications of Liquid Chromatography-Mass Spectrometry in Analytical Toxicology: A Review

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