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Woldegebriel, Michael, Vivó-Truyols, Gabriel (2015) Probabilistic Model for Untargeted Peak Detection in LC–MS Using Bayesian Statistics. Analytical Chemistry, 87 (14). 7345-7355 doi:10.1021/acs.analchem.5b01521

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Reference TypeJournal (article/letter/editorial)
TitleProbabilistic Model for Untargeted Peak Detection in LC–MS Using Bayesian Statistics
JournalAnalytical Chemistry
AuthorsWoldegebriel, MichaelAuthor
Vivó-Truyols, GabrielAuthor
Year2015 (July 21)Volume87
Issue14
PublisherAmerican Chemical Society (ACS)
DOIdoi:10.1021/acs.analchem.5b01521Search in ResearchGate
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Mindat Ref. ID6434571Long-form Identifiermindat:1:5:6434571:4
GUID0
Full ReferenceWoldegebriel, Michael, Vivó-Truyols, Gabriel (2015) Probabilistic Model for Untargeted Peak Detection in LC–MS Using Bayesian Statistics. Analytical Chemistry, 87 (14). 7345-7355 doi:10.1021/acs.analchem.5b01521
Plain TextWoldegebriel, Michael, Vivó-Truyols, Gabriel (2015) Probabilistic Model for Untargeted Peak Detection in LC–MS Using Bayesian Statistics. Analytical Chemistry, 87 (14). 7345-7355 doi:10.1021/acs.analchem.5b01521
In(2015, July) Analytical Chemistry Vol. 87 (14) American Chemical Society (ACS)

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Woldegebriel, Michael, Zomer, Paul, Mol, Hans G. J., Vivó-Truyols, Gabriel (2016) Application of Fragment Ion Information as Further Evidence in Probabilistic Compound Screening Using Bayesian Statistics and Machine Learning: A Leap Toward Automation. Analytical Chemistry, 88 (15). 7705-7714 doi:10.1021/acs.analchem.6b01630
Woldegebriel, Michael, Gonsalves, John, van Asten, Arian, Vivó-Truyols, Gabriel (2016) Robust Bayesian Algorithm for Targeted Compound Screening in Forensic Toxicology. Analytical Chemistry, 88 (4). 2421-2430 doi:10.1021/acs.analchem.5b04484
Woldegebriel, Michael, Vivó-Truyols, Gabriel (2016) A New Bayesian Approach for Estimating the Presence of a Suspected Compound in Routine Screening Analysis. Analytical Chemistry, 88 (19). 9843-9849 doi:10.1021/acs.analchem.6b03026
Vivó-Truyols, Gabriel (2012) Bayesian Approach for Peak Detection in Two-Dimensional Chromatography. Analytical Chemistry, 84 (6). 2622-2630 doi:10.1021/ac202124t
Barcaru, Andrei, Vivó-Truyols, Gabriel (2016) Use of Bayesian Statistics for Pairwise Comparison of Megavariate Data Sets: Extracting Meaningful Differences between GCxGC-MS Chromatograms Using Jensen–Shannon Divergence. Analytical Chemistry, 88 (4). 2096-2104 doi:10.1021/acs.analchem.5b03506
Woldegebriel, Michael (2015) Novel Method for Calculating a Nonsubjective Informative Prior for a Bayesian Model in Toxicology Screening: A Theoretical Framework. Analytical Chemistry, 87 (22). 11398-11406 doi:10.1021/acs.analchem.5b02916
Barcaru, Andrei, Derks, Eduard, Vivó-Truyols, Gabriel (2016) Bayesian peak tracking: A novel probabilistic approach to match GCxGC chromatograms. Analytica Chimica Acta, 940. 46-55 doi:10.1016/j.aca.2016.09.001
Navarro-Reig, Meritxell, Jaumot, Joaquim, Baglai, Anna, Vivó-Truyols, Gabriel, Schoenmakers, Peter J., Tauler, Romà (2017) Untargeted Comprehensive Two-Dimensional Liquid Chromatography Coupled with High-Resolution Mass Spectrometry Analysis of Rice Metabolome Using Multivariate Curve Resolution. Analytical Chemistry, 89 (14). 7675-7683 doi:10.1021/acs.analchem.7b01648
Lopatka, M., Vivó-Truyols, G., Sjerps, M.J. (2014) Probabilistic peak detection for first-order chromatographic data. Analytica Chimica Acta, 817. 9-16 doi:10.1016/j.aca.2014.02.015
Drotleff, Bernhard, Lämmerhofer, Michael (2019) Guidelines for Selection of Internal Standard-Based Normalization Strategies in Untargeted Lipidomic Profiling by LC-HR-MS/MS. Analytical Chemistry, 91 (15). 9836-9843 doi:10.1021/acs.analchem.9b01505
Cao, Xiaoyu, Limbach, Patrick A. (2015) Enhanced Detection of Post-Transcriptional Modifications Using a Mass-Exclusion List Strategy for RNA Modification Mapping by LC-MS/MS. Analytical Chemistry, 87 (16). 8433-8440 doi:10.1021/acs.analchem.5b01826
 
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