stochprofML: Stochastic Profiling using Maximum Likelihood Estimation
Version 1.2

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.

Package details

AuthorChristiane Fuchs
Date of publication2014-10-18 06:28:46
MaintainerChristiane Fuchs <christiane.fuchs@helmholtz-muenchen.de>
LicenseGPL (>= 2)
Version1.2
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("stochprofML")

Try the stochprofML package in your browser

Any scripts or data that you put into this service are public.

stochprofML documentation built on May 30, 2017, 2:07 a.m.