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Revealing lineage-related signals in single-cell gene expression using random matrix theory
Gene expression profiles of a cellular population, generated by single-cell RNA sequencing, contains rich information about biological state, including cell type, cell cycle phase, gene regulatory patterns, and location within the tissue of origin. A major challenge is to disentangle information abo...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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National Academy of Sciences
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7980374/ https://www.ncbi.nlm.nih.gov/pubmed/33836557 http://dx.doi.org/10.1073/pnas.1913931118 |