BushmanLab/LDppA: Latent Dirichlet Process Prior Allocation for Cell Type Compositions
Cell type compositions are estimated from gene therapy data. The data are in the form of a N by K table of counts for number of cells in each of N cell lineages for which K types are assessed. The model uses a Dirchlet process prior that has a Dirichlet distribution as its base. The K cell types are subject to misclassification and a confusion matrix must be given a priori.
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Package details |
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| Author | Charles C. Berry [aut, cre] |
| Maintainer | "Charles C. Berry" <cberry@ucsd.edu> |
| License | GPL-3 | file LICENSE |
| Version | 0.99.39 |
| URL | https://github.com/BushmanLab/LDppA.git |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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