Загрузка...
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...
Сохранить в:
| Опубликовано в: : | BMC Bioinformatics |
|---|---|
| Главные авторы: | , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
BioMed Central
2019
|
| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6557741/ https://ncbi.nlm.nih.gov/pubmed/31182005 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-019-2769-6 |
| Метки: |
Добавить метку
Нет меток, Требуется 1-ая метка записи!
|