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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...
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| Wydane w: | Proc Natl Acad Sci U S A |
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| Główni autorzy: | , |
| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
National Academy of Sciences
2021
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| Hasła przedmiotowe: | |
| Dostęp online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7980374/ https://ncbi.nlm.nih.gov/pubmed/33836557 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1913931118 |
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