A carregar...
Interpretable dimensionality reduction of single cell transcriptome data with deep generative models
Single-cell RNA-sequencing has great potential to discover cell types, identify cell states, trace development lineages, and reconstruct the spatial organization of cells. However, dimension reduction to interpret structure in single-cell sequencing data remains a challenge. Existing algorithms are...
Na minha lista:
| Publicado no: | Nat Commun |
|---|---|
| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2018
|
| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5962608/ https://ncbi.nlm.nih.gov/pubmed/29784946 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41467-018-04368-5 |
| Tags: |
Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!
|