| Name : R-PoissonSeq
| |
| Version : 1.1.2
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp153.2.13
| Date : 2024-06-14 11:17:14
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| Group : Development/Libraries/Other
| Source RPM : R-PoissonSeq-1.1.2-lp153.2.13.src.rpm
|
| Size : 0.07 MB
| |
| Packager : (none)
| |
| Summary : Significance analysis of sequencing data based on a Poisson log linear model
|
Description :
This package implements a method for normalization, testing, and false
discovery rate estimation for RNA-sequencing data. The description of
the method is in Li J, Witten DM, Johnstone I, Tibshirani R (2012).
Normalization, testing, and false discovery rate estimation for
RNA-sequencing data. Biostatistics 13(3): 523-38. We estimate the
sequencing depths of experiments using a new method based on Poisson
goodness-of-fit statistic, calculate a score statistic on the basis of
a Poisson log-linear model, and then estimate the false discovery rate
using a modified version of permutation plug-in method. A more detailed
instruction as well as sample data is available at
http://www.stanford.edu/~junli07/research.html. In this version, we
changed the way of calculating log foldchange for two-class data. The
FDR estimation part remains unchanged.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
