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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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Gorde:
Xehetasun bibliografikoak
Argitaratua izan da:BMC Bioinformatics
Egile Nagusiak: Peng, Jiajie, Wang, Xiaoyu, Shang, Xuequn
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: BioMed Central 2019
Gaiak:
Sarrera elektronikoa: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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