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Predicting transcriptional responses to heat and drought stress from genomic features using a machine learning approach in rice
Plants have evolved various mechanisms to adapt to adverse environmental stresses, such as the modulation of gene expression. Expression of stress-responsive genes is controlled by specific regulators, including transcription factors (TFs), that bind to sequence-specific binding sites, representing...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10390317/ https://www.ncbi.nlm.nih.gov/pubmed/37528982 http://dx.doi.org/10.3389/fpls.2023.1212073 |