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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...
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| Publicado no: | BMC Bioinformatics |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2019
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| Assuntos: | |
| Acesso em linha: | 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 |
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