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A Data Set of 255,000 Randomly Selected and Manually Classified Extracted Ion Chromatograms for Evaluation of Peak Detection Methods

scientific article published on 22 April 2020

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32331455

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A Data Set of 255,000 Randomly Selected and Manually Classified Extracted Ion Chromatograms for Evaluation of Peak Detection Methods (English)

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32331455

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4 May 2020

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32331455

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4 May 2020

Tobias Schulze

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6

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32331455

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4 May 2020

2

Carolin Huber

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4 May 2020

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Werner Brack

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32331455

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Liza-Marie Beckers

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3

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Martin Krauss

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5

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32331455

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22 April 2020

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32331455

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4 May 2020

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Europe PubMed Central

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32331455

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10

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32331455

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4

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4 May 2020

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22 April 2020

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MZmine 2: modular framework for processing, visualizing, and analyzing mass spectrometry-based molecular profile data

1 reference

4 April 2022

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XCMS: processing mass spectrometry data for metabolite profiling using nonlinear peak alignment, matching, and identification

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3 May 2022

https://opencitations.net/index/coci/api/v1/references/10.3390/METABO10040162

Non-target screening with high-resolution mass spectrometry: critical review using a collaborative trial on water analysis

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3 May 2022

https://opencitations.net/index/coci/api/v1/references/10.3390/METABO10040162

IPO: a tool for automated optimization of XCMS parameters

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https://opencitations.net/index/coci/api/v1/references/10.3390/METABO10040162

Unraveling longitudinal pollution patterns of organic micropollutants in a river by non-target screening and cluster analysis

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Critical assessment of alignment procedures for LC-MS proteomics and metabolomics measurements

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Strategy for optimizing LC-MS data processing in metabolomics: a design of experiments approach.

(Q93211913)

A Data Set of 255,000 Randomly Selected and Manually Classified Extracted Ion Chromatograms for Evaluation of Peak Detection Methods

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