Reconstructing cell cycle pseudo time-series via single-cell transcriptome data
In single-cell RNA sequencing data of heterogeneous cell populations, cell cycle stage of individual cells would often be informative. Here, the authors introduce a computational model to reconstruct a pseudo-time series from single cell transcriptome data, identify the cell cycle stages, identify c...
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Auteurs principaux: | , , , , , , , , |
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Format: | article |
Langue: | EN |
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Nature Portfolio
2017
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Accès en ligne: | https://doaj.org/article/32ab51ddb7e749bda7e9f191762097b3 |
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