Cargando…
Adjustment of p-value expression to ontology using machine learning for genetic prediction, prioritization, interaction, and its validation in glomerular disease
The results of gene expression analysis based on p-value can be extracted and sorted by their absolute statistical significance and then applied to multiple similarity scores of their gene ontology (GO) terms to promote the combination and adjustment of these scores as essential predictive tasks for...
Autores principales: | Ettetuani, Boutaina, Chahboune, Rajaa, Moussa, Ahmed |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10603191/ https://www.ncbi.nlm.nih.gov/pubmed/37900183 http://dx.doi.org/10.3389/fgene.2023.1215232 |
Ejemplares similares
-
An ontological analysis of some biological ontologies
por: Deb, Briti
Publicado: (2012) -
GeNetOntology: identifying affected gene ontology terms via grouping, scoring, and modeling of gene expression data utilizing biological knowledge-based machine learning
por: Ersoz, Nur Sebnem, et al.
Publicado: (2023) -
Reaching the End-Game for GWAS: Machine Learning Approaches for the Prioritization of Complex Disease Loci
por: Nicholls, Hannah L., et al.
Publicado: (2020) -
IMGT-ONTOLOGY 2012
por: Giudicelli, Véronique, et al.
Publicado: (2012) -
Challenging Disease Ontology by Instances of Atypical PKHD1 and PKD1 Genetics
por: de Fallois, Jonathan, et al.
Publicado: (2021)