Cargando…
Genetic risk assessment based on association and prediction studies
The genetic basis of phenotypic emergence provides valuable information for assessing individual risk. While association studies have been pivotal in identifying genetic risk factors within a population, complementing it with insights derived from predictions studies that assess individual-level ris...
Autores principales: | Astrologo, Nicole Cathlene N., Gaudillo, Joverlyn D., Albia, Jason R., Roxas-Villanueva, Ranzivelle Marianne L. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10502006/ https://www.ncbi.nlm.nih.gov/pubmed/37709797 http://dx.doi.org/10.1038/s41598-023-41862-3 |
Ejemplares similares
-
A machine learning-based SNP-set analysis approach for identifying disease-associated susceptibility loci
por: Silva, Princess P., et al.
Publicado: (2022) -
Machine learning approach to single nucleotide polymorphism-based asthma prediction
por: Gaudillo, Joverlyn, et al.
Publicado: (2019) -
Artificial intelligence on COVID-19 pneumonia detection using chest xray images
por: Baltazar, Lei Rigi, et al.
Publicado: (2021) -
Accuracy of Predicting the Genetic Risk of Disease Using a Genome-Wide Approach
por: Daetwyler, Hans D., et al.
Publicado: (2008) -
Behavioral Indices of Neuropsychological Processing Implicated in Moral Domain Reasoning amongst Children and Adolescents
por: Caravita, Simona C. S., et al.
Publicado: (2019)