Cargando…
Development of a knowledge graph framework to ease and empower translational approaches in plant research: a use-case on grain legumes
While the continuing decline in genotyping and sequencing costs has largely benefited plant research, some key species for meeting the challenges of agriculture remain mostly understudied. As a result, heterogeneous datasets for different traits are available for a significant number of these specie...
Autores principales: | Imbert, Baptiste, Kreplak, Jonathan, Flores, Raphaël-Gauthier, Aubert, Grégoire, Burstin, Judith, Tayeh, Nadim |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10435283/ https://www.ncbi.nlm.nih.gov/pubmed/37601035 http://dx.doi.org/10.3389/frai.2023.1191122 |
Ejemplares similares
-
Text-Graph Enhanced Knowledge Graph Representation Learning
por: Hu, Linmei, et al.
Publicado: (2021) -
Survey on graph embeddings and their applications to machine learning problems on graphs
por: Makarov, Ilya, et al.
Publicado: (2021) -
C3PO: a crop planning and production process ontology and knowledge graph
por: Darnala, Baptiste, et al.
Publicado: (2023) -
Catastrophic Forgetting in Deep Graph Networks: A Graph Classification Benchmark
por: Carta, Antonio, et al.
Publicado: (2022) -
AI-Empowered Computational Examination of Chest Imaging for COVID-19 Treatment: A Review
por: Deng, Hanqiu, et al.
Publicado: (2021)