Meta-analysis, WGCNA, and machine learning converge on a four-gene biomarker panel for heat stress tolerance in Solanum lycopersicum

Abstract Heat stress severely compromises growth, reproduction, and yield in Solanum lycopersicum, necessitating the identification of reliable molecular biomarkers for thermotolerance. Here, we performed a comprehensive meta-analysis of transcriptomic datasets encompassing diverse heat-stress exper...

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Bibliográfalaš dieđut

Váldodahkki:	Abbas Karimi-Fard
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	Nature Portfolio 2026-03-01
Ráidu:	Scientific Reports
Fáttát:	Solanum lycopersicum Heat stress RNA-seq meta-analysis WGCNA Machine learning Diagnostic biomarker
Liŋkkat:	https://doi.org/10.1038/s41598-026-42561-5
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