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GPseudoClust: deconvolution of shared pseudo-profiles at single-cell resolution
MOTIVATION: Many methods have been developed to cluster genes on the basis of their changes in mRNA expression over time, using bulk RNA-seq or microarray data. However, single-cell data may present a particular challenge for these algorithms, since the temporal ordering of cells is not directly obs...
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| Опубликовано в: : | Bioinformatics |
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| Главные авторы: | , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Oxford University Press
2020
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7703763/ https://ncbi.nlm.nih.gov/pubmed/31608923 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btz778 |
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