Autoencoder-based cluster ensembles for single-cell RNA-seq data analysis
Abstract 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 i...
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| Autori principali: | , , , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
BMC
2019-12-01
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| Serie: | BMC Bioinformatics |
| Soggetti: | |
| Accesso online: | https://doi.org/10.1186/s12859-019-3179-5 |
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