Modeling omics integration with HIVE identifies response signatures to multifactorial stress in plants
HIVE is a novel machine-learning tool for identifying common and specific molecular signatures of plant response to multiple stresses by integrating single-stress experiments.
Authors
- Patrícia Messenberg Guimarães (ORCID: https://orcid.org/0000-0001-9799-3042)
- Ana Paula Zotta Mota (ORCID: https://orcid.org/0000-0003-3251-1406)
- Hannes Schuler (ORCID: https://orcid.org/0000-0001-8307-9831)
- Silvia Bottini (ORCID: https://orcid.org/0000-0002-0605-4646)
- Ana Cristina Miranda Brasileiro (ORCID: https://orcid.org/0000-0003-0530-062X)
- Giulia Calia (ORCID: https://orcid.org/0009-0009-1963-1279)
- Sophia Marguerit
- Manon Vidal (ORCID: https://orcid.org/0009-0002-1018-1848)
Institutions
- Free University of Bozen-Bolzano (IT)
- Brazilian Agricultural Research Corporation (BR)
- Institut Sophia Agrobiotech (FR)
Publication Details
- Journal
- PLANT PHYSIOLOGY
- Published
- 2025-11-26
- DOI
- https://doi.org/10.1093/plphys/kiaf618
- Citations
- 1
- Primary Topic
- Bioinformatics and Genomic Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.81