Latent-space embedding of expression data identifies gene signatures from sputum samples of asthmatic patients

BACKGROUND: The pathogenesis of asthma is a complex process involving multiple genes and pathways. Identifying biomarkers from asthma datasets, especially those that include heterogeneous subpopulations, is challenging. Potentially, autoencoders provide ideal frameworks for such tasks as they can em...

Descripción completa

Detalles Bibliográficos
Autores principales: Lou, Shaoke, Li, Tianxiao, Spakowicz, Daniel, Yan, Xiting, Chupp, Geoffrey Lowell, Gerstein, Mark
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7560063/
https://www.ncbi.nlm.nih.gov/pubmed/33059594
http://dx.doi.org/10.1186/s12859-020-03785-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7560063/
https://www.ncbi.nlm.nih.gov/pubmed/33059594
http://dx.doi.org/10.1186/s12859-020-03785-y

Ejemplares similares