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Analysis of single-cell RNA sequencing data based on autoencoders
BACKGROUND: Single-cell RNA sequencing (scRNA-Seq) experiments are gaining ground to study the molecular processes that drive normal development as well as the onset of different pathologies. Finding an effective and efficient low-dimensional representation of the data is one of the most important s...
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| Publié dans: | BMC Bioinformatics |
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| Auteurs principaux: | , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
BioMed Central
2021
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8186186/ https://ncbi.nlm.nih.gov/pubmed/34103004 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-021-04150-3 |
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