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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...
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| Publicado no: | Patterns (N Y) |
|---|---|
| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Elsevier
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7660363/ https://ncbi.nlm.nih.gov/pubmed/33205104 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.patter.2020.100035 |
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