netNMF-sc: leveraging gene–gene interactions for imputation and dimensionality reduction in single-cell expression analysis

Single-cell RNA-sequencing (scRNA-seq) enables high-throughput measurement of RNA expression in single cells. However, because of technical limitations, scRNA-seq data often contain zero counts for many transcripts in individual cells. These zero counts, or dropout events, complicate the analysis of...

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Detalles Bibliográficos
Autores principales: Elyanow, Rebecca, Dumitrascu, Bianca, Engelhardt, Barbara E., Raphael, Benjamin J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory Press 2020
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7050525/
https://www.ncbi.nlm.nih.gov/pubmed/31992614
http://dx.doi.org/10.1101/gr.251603.119

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7050525/
https://www.ncbi.nlm.nih.gov/pubmed/31992614
http://dx.doi.org/10.1101/gr.251603.119

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