Combining gene ontology with deep neural networks to enhance the clustering of single cell RNA-Seq data

BACKGROUND: Single cell RNA sequencing (scRNA-seq) is applied to assay the individual transcriptomes of large numbers of cells. The gene expression at single-cell level provides an opportunity for better understanding of cell function and new discoveries in biomedical areas. To ensure that the singl...

Descripción completa

Detalles Bibliográficos
Autores principales: Peng, Jiajie, Wang, Xiaoyu, Shang, Xuequn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6557741/
https://www.ncbi.nlm.nih.gov/pubmed/31182005
http://dx.doi.org/10.1186/s12859-019-2769-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6557741/
https://www.ncbi.nlm.nih.gov/pubmed/31182005
http://dx.doi.org/10.1186/s12859-019-2769-6

Ejemplares similares