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Autoencoder-based cluster ensembles for single-cell RNA-seq data analysis
BACKGROUND: Single-cell RNA-sequencing (scRNA-seq) is a transformative technology, allowing global transcriptomes of individual cells to be profiled with high accuracy. An essential task in scRNA-seq data analysis is the identification of cell types from complex samples or tissues profiled in an exp...
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| Опубликовано в: : | BMC Bioinformatics |
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| Главные авторы: | , , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
BioMed Central
2019
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6929272/ https://ncbi.nlm.nih.gov/pubmed/31870278 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-019-3179-5 |
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