Correland <sup>SW</sup> : Correlation Networks from LC–MS Data

extract. Network density is reduced by limiting visible edges, producing interpretable and visually coherent networks generated in a single step using rescaled Pearson correlation coefficients.

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Publication Details

Journal
Journal of the American Society for Mass Spectrometry
Published
2026-04-22
DOI
https://doi.org/10.1021/jasms.6c00065
Primary Topic
Metabolomics and Mass Spectrometry Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Correland SW : Correlation Networks from LC–MS Data

Jiřı́ Grúz, Andrea Kosinova
Journal of the American Society for Mass Spectrometry
Metabolomics and Mass Spectrometry Studies
article

Correland SW : Correlation Networks from LC–MS Data

Jiřı́ Grúz, Andrea Kosinova
article en

Abstract

extract. Network density is reduced by limiting visible edges, producing interpretable and visually coherent networks generated in a single step using rescaled Pearson correlation coefficients.

Journal of the American Society for Mass SpectrometryVol. 37(5)
Palacký University Olomouc (CZ)
Univerzita Palackého v Olomouci
Openalex Percentile: Top 22%
Metabolomics and Mass Spectrometry Studies
DOIOpen Access PDFOpenAlex
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Correland <sup>SW</sup> : Correlation Networks from LC–MS Data — Jiřı́ Grúz, Andrea Kosinova · Journal of the American Society for Mass Spectrometry (2026) | TGRS Research Map | TGRS