Integrative cross-platform transcriptomic analysis coupled with machine learning identifies candidate biomarkers of abiotic stress resilience in Arabidopsis thaliana
Abstract
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.
Fields of Study & Subjects
Plant Stress Responses and Tolerance
Gene expression and cancer classification
Genomics and Phylogenetic Studies
Publication details
- Journal / source
- Figshare
- Publication date
- 1 January 2026
- Language
- EN
- Document type
- Dataset