In this article we discuss our experience designing and implementing a statistical computing
language. In developing this new language, we sought to combine what we felt were useful …

… We introduce a DataFrame class that behaves similarly to the base R data.frame, but supports
storage of complex vector-like objects (eg, a DNAStringSet, representing DNA sequences, …

… We have embraced R for its scientific and statistical computing capabilities, for its … R's foreign
language interfaces can be exploited to access an established software library from within R…

… Here we review three of the most widely used and comprehensive systems, the statistical
analysis tools written in R through the Bioconductor project ( http://www.bioconductor.org ), the …

Improved approaches for the detection of common epithelial malignancies are urgently
needed to reduce the worldwide morbidity and mortality caused by cancer. MicroRNAs (miRNAs) …

… with R suggested that its range of well-implemented statistical and visualization tools would
decrease development and distribution time for robust software for CBB. We also note that R …

… For concreteness, we will show the R programming code to perform this analysis. Figures 3,
… includes all the R code for analysis and graphics displays. It is available as additional file 1. …

High-density oligonucleotide expression arrays are widely used in many areas of biomedical
research. Affymetrix GeneChip arrays are the most popular. In the Affymetrix system, a fair …

… Results: We discuss the capabilities of GOstats, a Bioconductor package written in R, that
allows users to test GO terms for over or under-representation using either a classical …

Small-cell lung cancer (SCLC) is an exceptionally aggressive disease with poor prognosis.
Here, we obtained exome, transcriptome and copy-number alteration data from …