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The Deep Generative Decoder: MAP estimation of representations improves modelling of single-cell RNA data
MOTIVATION: Learning low-dimensional representations of single-cell transcriptomics has become instrumental to its downstream analysis. The state of the art is currently represented by neural network models, such as variational autoencoders, which use a variational approximation of the likelihood fo...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Oxford University Press
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10483129/ https://www.ncbi.nlm.nih.gov/pubmed/37572301 http://dx.doi.org/10.1093/bioinformatics/btad497 |