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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2020
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| Materias: | |
| 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 |