Cargando…
Harnessing Gene Expression Networks to Prioritize Candidate Epileptic Encephalopathy Genes
We apply a novel gene expression network analysis to a cohort of 182 recently reported candidate Epileptic Encephalopathy genes to identify those most likely to be true Epileptic Encephalopathy genes. These candidate genes were identified as having single variants of likely pathogenic significance d...
Autores principales: | Oliver, Karen L., Lukic, Vesna, Thorne, Natalie P., Berkovic, Samuel F., Scheffer, Ingrid E., Bahlo, Melanie |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4090166/ https://www.ncbi.nlm.nih.gov/pubmed/25014031 http://dx.doi.org/10.1371/journal.pone.0102079 |
Ejemplares similares
-
In silico prioritization based on coexpression can aid epileptic encephalopathy gene discovery
por: Oliver, Karen L., et al.
Publicado: (2016) -
Epidemiology and etiology of infantile developmental and epileptic encephalopathies in Tasmania
por: Ware, Tyson L., et al.
Publicado: (2019) -
Harnessing large language models (LLMs) for candidate gene prioritization and selection
por: Toufiq, Mohammed, et al.
Publicado: (2023) -
Solving the Molecular Basis of the Developmental and Epileptic Encephalopathies: Are We there Yet?
por: Scheffer, Ingrid E.
Publicado: (2021) -
Infantile‐onset myoclonic developmental and epileptic encephalopathy: A new RARS2 phenotype
por: de Valles‐Ibáñez, Guillem, et al.
Publicado: (2021)