Deep Generative Modeling for Single-cell Transcriptomics

Transcriptome measurements of individual cells reflect unexplored biological diversity, but are also affected by technical noise and bias. This raises the need to model and account for the resulting uncertainty in any downstream analysis. Here, we introduce Single-cell Variational Inference (scVI),...

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Detalles Bibliográficos
Autores principales: Lopez, Romain, Regier, Jeffrey, Cole, Michael B., Jordan, Michael I., Yosef, Nir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6289068/
https://www.ncbi.nlm.nih.gov/pubmed/30504886
http://dx.doi.org/10.1038/s41592-018-0229-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6289068/
https://www.ncbi.nlm.nih.gov/pubmed/30504886
http://dx.doi.org/10.1038/s41592-018-0229-2

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