Integrating Metabolomics and Machine Learning to Analyze Chemical Markers and Ecological Regulatory Mechanisms of Geographical Differentiation in <i>Thesium chinense</i> Turcz.

Metabolites · 2025 · PMC12300666 · PMID 40710523

Europe PMC DOI

hedged sentence

—

closest p

—

boldest claim

The sentences

highly significantno p-value reported

In all groups, 13-alpha-(21)-Epoxyeurycomanone showed highly significant differences, with its stable geographical response characteristics making it a potential key biomarker. 3.3.

also in 132,142 other papers

Quoted from the open-access full text in Europe PMC under the licence the publisher applied. The sentence is reproduced exactly as published; the emphasis is ours.

Integrating Metabolomics and Machine Learning to Analyze Chemical Markers and Ecological Regulatory Mechanisms of Geographical Differentiation in &lt;i&gt;Thesium chinense&lt;/i&gt; Turcz.

The sentences

Integrating Metabolomics and Machine Learning to Analyze Chemical Markers and Ecological Regulatory Mechanisms of Geographical Differentiation in <i>Thesium chinense</i> Turcz.