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...
| Main Authors: | , |
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| Format: | Journal article |
| Language: | English |
| Published: |
Nature Publishing Group
2017
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