Name Mode Size
R 040000
inst 040000
man 040000
tests 040000
vignettes 040000
.Rbuildignore 100755 0 kb
.gitignore 100755 0 kb
DESCRIPTION 100644 1 kb
LICENSE 100755 0 kb
NAMESPACE 100755 1 kb 100755 2 kb
RPA === Robust Probabilistic Averaging (RPA) is a Bioconductor R package for probe-level preprocessing and analysis of short oligonucleotide arrays. The tools are generic but special wrappers are available for Affymetrix gene expression arrays as well as phylogenetic microarrays (HITChip in particular). This Github repository is the home for the latest development version. For the release version, see [RPA Bioconductor page]( ### Installation and use The installation instructions and working examples are in [RPA wiki]( ### Contents of this directory This directory contains the following: * The R package structure (development version) * [inst/extras/misc](inst/extras/misc) Miscellaneous development and test code * [inst/extras/NAR2013](inst/extras/NAR2013) Some scripts used for the [NAR 2013]( paper ### Citing RPA The work has been documented in these two publications. Kindly cite if appropriate: * [A fully scalable online pre-processing algorithm for short oligonucleotide microarray atlases]( Leo Lahti, Aurora Torrente, Laura L Elo, Alvis Brazma, Johan Rung. _Nucleic Acids Research'_ 41(10):e110, 2013. * [Probabilistic analysis of probe reliability in differential gene expression studies with short oligonucleotide arrays]( Leo Lahti, Laura L. Elo, Tero Aittokallio, and Samuel Kaski. _IEEE/ACM Transactions on Computational Biology and Bioinformatics_ 8(1):217-25, 2011. * [Robust Probabilistic Analysis (RPA)]( Bioconductor package. Leo Lahti, 2013. URL: RPA has also been used in the context of phylogenetic microarrays, see for instance: * [Tipping elements in the human intestinal ecosystem](