magStra/nonparametricSummaryPSM: Nonparametric methods to find optimal weights to combine posterior similarity matrices
Compute summary PSMs (posterior similarity matrices) from a set of multiple PSMs obtained for instance by means of subsampling. Implementation of the Dirichlet process and Pitman-Yor process based methods for combining PSMs proposed in Strauss et al. (2019). GPseudoClust: deconvolution of shared pseudo-trajectories at single-cell resolution.
Getting started
Browse package contents
Package details |
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| Author | Magdalena Strauss |
| Maintainer | Magdalena Strauss <ms58@sanger.ac.uk> |
| License | GPL-3 |
| Version | 0.1.0 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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