RPA: probe reliability and differential gene expression analysis for short oligonucleotide arrays
Summary
RPA provides tools to estimate probe reliability
directly based on gene expression measurements, independently of
external information of the probes. It also gives an estimate of
differential gene expression between a control array and the other
arrays in the data set. The computations are based on a probabilistic
model documented
in
Lahti
et al., TCBB/IEEE, 2011.
(preprint
pdf).
Download
The RPA package is included in BioConductor. Please note
the licensing terms in the package.
RPA runs under R, an open
source environment for statistical computing.
Support
Your comments, contributions, bug reports and fixes, and additional
features are welcome; please
contact Leo Lahti.
Page maintained by lmlahti@cis.hut.fi,
last updated Friday, 11-Mar-2011 08:56:37 EET