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Uncovering pseudotemporal trajectories with covariates from single cell and bulk expression data
Pseudotime algorithms can be employed to extract latent temporal information from cross-sectional data sets allowing dynamic biological processes to be studied in situations where the collection of time series data is challenging or prohibitive. Computational techniques have arisen from single-cell...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2018
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6015076/ https://www.ncbi.nlm.nih.gov/pubmed/29934517 http://dx.doi.org/10.1038/s41467-018-04696-6 |