Using neural networks for reducing the dimensions of single-cell RNA-Seq data

While only recently developed, the ability to profile expression data in single cells (scRNA-Seq) has already led to several important studies and findings. However, this technology has also raised several new computational challenges. These include questions about the best methods for clustering sc...

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Detalles Bibliográficos
Autores principales: Lin, Chieh, Jain, Siddhartha, Kim, Hannah, Bar-Joseph, Ziv
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Methods Online
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5737331/
https://www.ncbi.nlm.nih.gov/pubmed/28973464
http://dx.doi.org/10.1093/nar/gkx681

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5737331/
https://www.ncbi.nlm.nih.gov/pubmed/28973464
http://dx.doi.org/10.1093/nar/gkx681

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