Identification and analysis of SNP markers associated with traits of interest in rice using machine learning methodology (2025)
- Authors:
- Autor USP: CERRI, RICARDO - ICMC
- Unidade: ICMC
- Subjects: BIOINFORMÁTICA; APRENDIZADO COMPUTACIONAL; AGRICULTURA DE PRECISÃO; GENOMAS; BIOMARCADORES; ARROZ
- Keywords: molecular markers; Oryza sativa; marker assisted selection
- Language: Inglês
- Sustainable Development Goals (GDS):
02. Zero hunger
- Imprenta:
- Publisher place: Campos dos Goytacazes
- Date published: 2025
- Source:
- Título: Functional Plant Breeding Journal
- ISSN: 2595-9433
- Volume/Número/Paginação/Ano: v. 7, p. 01-12, Jan.-Dec. 2025
-
ABNT
CRUZ, Agnes Cardoso da et al. Identification and analysis of SNP markers associated with traits of interest in rice using machine learning methodology. Functional Plant Breeding Journal, v. 7, n. Ja-Dec. 2025, p. 01-12, 2025Tradução . . Disponível em: http://fpbjournal.com/fpbj/index.php/fpbj/article/view/225. Acesso em: 01 jan. 2026. -
APA
Cruz, A. C. da, Narciso, M. G., Cerri, R., Valdisser, P. A., Messias, L. M. G., Funicheli, B. O., et al. (2025). Identification and analysis of SNP markers associated with traits of interest in rice using machine learning methodology. Functional Plant Breeding Journal, 7( Ja-Dec. 2025), 01-12. Recuperado de http://fpbjournal.com/fpbj/index.php/fpbj/article/view/225 -
NLM
Cruz AC da, Narciso MG, Cerri R, Valdisser PA, Messias LMG, Funicheli BO, Vianello RP, Brondani C. Identification and analysis of SNP markers associated with traits of interest in rice using machine learning methodology [Internet]. Functional Plant Breeding Journal. 2025 ; 7( Ja-Dec. 2025): 01-12.[citado 2026 jan. 01 ] Available from: http://fpbjournal.com/fpbj/index.php/fpbj/article/view/225 -
Vancouver
Cruz AC da, Narciso MG, Cerri R, Valdisser PA, Messias LMG, Funicheli BO, Vianello RP, Brondani C. Identification and analysis of SNP markers associated with traits of interest in rice using machine learning methodology [Internet]. Functional Plant Breeding Journal. 2025 ; 7( Ja-Dec. 2025): 01-12.[citado 2026 jan. 01 ] Available from: http://fpbjournal.com/fpbj/index.php/fpbj/article/view/225 - Inductive models for structured output prediction of lncRNA-disease associations
- ARM-stream: active recovery of miscategorizations in clustering-based data stream classifiers
- Comparative analysis of machine learning algorithms for identifying genetic markers linked to Alzheimer's disease
- Grammar-based evolutionary approaches for software effort estimation
- Redes neurais e algoritmos genéticos para problemas de classificação hierárquica multirrótulo
- Ensemble methods for selecting single nucleotide polymorphisms associated to rice phenotypes
- Ensemble multi-label classification using closed frequent labelsets and label taxonomies
- Sistema de alerta de risco de incêndio no Pantanal com previsão até 3 dias futuros
- Growing self-organizing maps for multi-label classification
- Semi-supervised predictive clustering trees for multi-label protein subcellular localization
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
 |
3281567.pdf | Direct link |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
