| Name : R-MCMC.qpcr
| |
| Version : 1.2.4
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.15.7
| Date : 2024-06-14 11:51:03
|
| Group : Development/Libraries/Other
| Source RPM : R-MCMC.qpcr-1.2.4-lp153.15.7.src.rpm
|
| Size : 0.18 MB
| |
| Packager : (none)
| |
| Summary : Bayesian Analysis of qRT-PCR Data
|
Description :
Quantitative RT-PCR data are analyzed using generalized linear mixed
models based on lognormal-Poisson error distribution, fitted using
MCMC. Control genes are not required but can be incorporated as
Bayesian priors or, when template abundances correlate with conditions,
as trackers of global effects (common to all genes). The package also
implements a lognormal model for higher-abundance data and a \"classic\"
model involving multi-gene normalization on a by-sample basis. Several
plotting functions are included to extract and visualize results. The
detailed tutorial is available here:
< https://matzlab.weebly.com/uploads/7/6/2/2/76229469/mcmc.qpcr.tutorial.v1.2.4.pdf>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
