This is an R package accompanying the paper "Parameterizing cell-to-cell regulatory heterogeneities via stochastic transcriptional profiles" by Sameer S Bajikar, Christiane Fuchs, Andreas Roller, Fabian J Theis and Kevin A Janes (PNAS 2014, 111(5), E626-635). In this paper, we measure expression profiles from small heterogeneous populations of cells, where each cell is assumed to be from a mixture of lognormal distributions. We perform maximum likelihood estimation in order to infer the mixture ratio and the parameters of these lognormal distributions from the cumulated expression measurements.
| Version: | 1.2 |
| Depends: | R (≥ 2.0) |
| Imports: | MASS, numDeriv |
| Published: | 2014-10-18 |
| Author: | Christiane Fuchs |
| Maintainer: | Christiane Fuchs <christiane.fuchs at helmholtz-muenchen.de> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | stochprofML results |
| Reference manual: | stochprofML.pdf |
| Package source: | stochprofML_1.2.tar.gz |
| Windows binaries: | r-devel: stochprofML_1.2.zip, r-release: stochprofML_1.2.zip, r-oldrel: stochprofML_1.2.zip |
| OS X El Capitan binaries: | r-release: stochprofML_1.2.tgz |
| OS X Mavericks binaries: | r-oldrel: stochprofML_1.2.tgz |
| Old sources: | stochprofML archive |
Please use the canonical form https://CRAN.R-project.org/package=stochprofML to link to this page.