A Random Matrix Theory Approach to Denoise Single-Cell Data

Single-cell technologies provide the opportunity to identify new cellular states. However, a major obstacle to the identification of biological signals is noise in single-cell data. In addition, single-cell data are very sparse. We propose a new method based on random matrix theory to analyze and de...

Descripción completa

Detalles Bibliográficos
Autores principales: Aparicio, Luis, Bordyuh, Mykola, Blumberg, Andrew J., Rabadan, Raul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7660363/
https://www.ncbi.nlm.nih.gov/pubmed/33205104
http://dx.doi.org/10.1016/j.patter.2020.100035

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7660363/
https://www.ncbi.nlm.nih.gov/pubmed/33205104
http://dx.doi.org/10.1016/j.patter.2020.100035

Ejemplares similares