Uncovering pseudotemporal trajectories with covariates from single cell and bulk expression data
Cross-sectional omic data often have non-homogeneous genetic, phenotypic, or environmental backgrounds. Here, the authors develop a statistical framework to infer pseudotime trajectories in the presence of such factors as well as their interactions in both single-cell and bulk gene expression analys...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2018-06-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-018-04696-6 |