Comparative analysis of machine learning algorithms for identifying genetic markers linked to Alzheimer's disease (2025)
- Authors:
- Autor USP: CERRI, RICARDO - ICMC
- Unidade: ICMC
- DOI: 10.1007/978-3-031-79035-5_11
- Subjects: APRENDIZADO COMPUTACIONAL; GENÔMICA; BIOMARCADORES; DOENÇA DE ALZHEIMER
- Keywords: GWA; Disease Prediction; Genetic Markers; Single Nucleotide Polymorphisms (SNPs)
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Lecture Notes in Artificial Intelligence
- ISSN: 0302-9743
- Volume/Número/Paginação/Ano: v. 15414, p. 157-171, 2025
- Conference titles: Brazilian Conference on Intelligent Systems - BRACIS
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
ALVES, Juliana et al. Comparative analysis of machine learning algorithms for identifying genetic markers linked to Alzheimer's disease. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-79035-5_11. Acesso em: 01 jan. 2026. , 2025 -
APA
Alves, J., Costa, E., Xavier, A., & Cerri, R. (2025). Comparative analysis of machine learning algorithms for identifying genetic markers linked to Alzheimer's disease. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-79035-5_11 -
NLM
Alves J, Costa E, Xavier A, Cerri R. Comparative analysis of machine learning algorithms for identifying genetic markers linked to Alzheimer's disease [Internet]. Lecture Notes in Artificial Intelligence. 2025 ; 15414 157-171.[citado 2026 jan. 01 ] Available from: https://doi.org/10.1007/978-3-031-79035-5_11 -
Vancouver
Alves J, Costa E, Xavier A, Cerri R. Comparative analysis of machine learning algorithms for identifying genetic markers linked to Alzheimer's disease [Internet]. Lecture Notes in Artificial Intelligence. 2025 ; 15414 157-171.[citado 2026 jan. 01 ] Available from: https://doi.org/10.1007/978-3-031-79035-5_11 - Inductive models for structured output prediction of lncRNA-disease associations
- ARM-stream: active recovery of miscategorizations in clustering-based data stream classifiers
- 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
- Identification and analysis of SNP markers associated with traits of interest in rice using machine learning methodology
- 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
Informações sobre o DOI: 10.1007/978-3-031-79035-5_11 (Fonte: oaDOI API)
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
 |
3232558.pdf |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
