Integrative cross-platform transcriptomic analysis coupled with machine learning identifies candidate biomarkers of abiotic stress resilience in Arabidopsis thaliana

Environmental stressors impose significant constraints on plant growth and productivity, creating an imperative to elucidate the molecular mechanisms underlying stress tolerance. A major challenge in this domain is integrating large and heterogeneous transcriptomic datasets generated using diverse technological platforms.