Work

Modeling omics integration with HIVE identifies response signatures to multifactorial stress in plants

Year: 2025

Type: article

Abstract: 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.

Source: PLANT PHYSIOLOGY

DOI: 10.1093/plphys/kiaf618

Authors: Giulia Calia, Sophia Marguerit, Ana Paula Zotta Mota, Manon Vidal, Hannes Schuler, Ana Cristina Miranda Brasileiro, Patricia Messenberg Guimaraes, Silvia Bottini

Institutions: Centre National de la Recherche Scientifique, Free University of Bozen-Bolzano, Université Côte d'Azur, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement, Institut Sophia Agrobiotech, Brazilian Agricultural Research Corporation, Embrapa Recursos Genéticos e Biotecnologia

Language: English

Topic: Plant Stress Responses and Tolerance

Subfield: Plant Science

Field: Agricultural and Biological Sciences

Domain: Life Sciences

SDG: Zero hunger

Open Access status: hybrid

Estimated APC paid: $3,851

Funders: Agence Nationale de la Recherche, Austrian Science Fund, Vermont Agency of Natural Resources

Awards: Idex UCA JEDI, G3464583634

OpenAlex ID: W4417497911

FWCI: 1.528

Cites: 15

Cited by: 3

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