| Name : R-stochprofML
| |
| Version : 2.0.3
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp153.2.13
| Date : 2024-06-14 11:23:40
|
| Group : Development/Libraries/Other
| Source RPM : R-stochprofML-2.0.3-lp153.2.13.src.rpm
|
| Size : 0.32 MB
| |
| Packager : (none)
| |
| Summary : Stochastic Profiling using Maximum Likelihood Estimation
|
Description :
New Version of the R package originally 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 < doi:10.1073/pnas.1311647111>). 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. The main
difference of this new package version to the previous one is that it
is now possible to use different n\'s, i.e. a dataset where each tissue
sample originates from a different number of cells. We used this on
pheno-seq data, see: Tirier, S.M., Park, J., Preusser, F. et al.
Pheno-seq - linking visual features and gene expression in 3D cell
culture systems. Sci Rep 9, 12367 (2019)
< doi:10.1038/s41598-019-48771-4>).
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
