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A deep adversarial variational autoencoder model for dimensionality reduction in single-cell RNA sequencing analysis
BACKGROUND: Single-cell RNA sequencing (scRNA-seq) is an emerging technology that can assess the function of an individual cell and cell-to-cell variability at the single cell level in an unbiased manner. Dimensionality reduction is an essential first step in downstream analysis of the scRNA-seq dat...
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| Pubblicato in: | BMC Bioinformatics |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
BioMed Central
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7035735/ https://ncbi.nlm.nih.gov/pubmed/32085701 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-020-3401-5 |
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