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A common data format and inference environment for single-cell trajectories 📦
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dynverse/dynwrap
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TutorialsReferencedocumentation
dynwrap contains the code for a common model of single-celltrajectories. The package can:
- Wrap the input data of a trajectory inference method, such asexpression and prior information
- Run a trajectory inference method in R, in a docker container or asingularity container
- Wrap the output of a trajectory inference method, such as thepseudotime, a clustering or a branch network, and convert it into acommon trajectory model
- Further postprocess and adapt the trajectory model, such as labellingthe milestones and rooting the trajectory
Documentation and the API reference for dynwrap can be found at thedyvnerse documentation website:https://dynverse.org/ .
dynwrap was used to wrap 50+ trajectory inference method within dockercontainers indynmethods.
The advantage of using a common model is that it allows:
- Comparison between a prediction and a gold standard, eg. usingdyneval
- Comparing two predictions
- Easily visualise the trajectory, eg. usingdynplot
- Extracting relevant features/genes, eg. usingdynfeature
Check outnews(package = "dynwrap") orNEWS.md for a fulllist of changes.
- BUG FIX
convert_definition(): Fix for purrr having deprecatedinvokein favour ofexec(PR #166).
Resubmission after babelwhale was removed from CRAN.
MINOR CHANGE: Added
@returndocumentation to all functions.
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A common data format and inference environment for single-cell trajectories 📦
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