What documentation exists for R?
What documentation exists for R?
What documentation exists for R?
Create successful ePaper yourself
Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.
Chapter 5: R Add-On Packages 69<br />
annotate Associate experimental data in real time to biological metadata from web databases<br />
such as GenBank, LocusLink and PubMed. Process and store query<br />
results. Generate HTML reports of analyses.<br />
apComplex<br />
Estimate protein complex membership using AP-MS protein data.<br />
applera Tools <strong>for</strong> Applied Biosystems microarrays AB1700 data analysis and quality<br />
controls.<br />
arrayMagic<br />
Utilities <strong>for</strong> quality control and processing <strong>for</strong> two-color cDNA microarray data.<br />
arrayQuality<br />
Per<strong>for</strong>ming print-run and array level quality assessment.<br />
beadarray Quality control and low-level analysis of BeadArrays.<br />
bim Bayesian interval mapping diagnostics: functions to interpret QTLCart and<br />
Bmapqtl samples.<br />
bioDist A collection of software tools <strong>for</strong> calculating distance measures.<br />
biocViews Categorized views of R package repositories.<br />
biomaRt Interface to BioMart databases (e.g., Ensembl)<br />
bridge Bayesian Robust Inference <strong>for</strong> Differential Gene Expression.<br />
cellHTS Analysis of cell-based screens.<br />
cghMCR Find chromosome regions showing common gains/losses.<br />
clusterStab<br />
Compute cluster stability scores <strong>for</strong> microarray data.<br />
codelink Manipulation of Codelink Bioarrays data.<br />
convert Convert Microarray Data Objects.<br />
copa Functions to per<strong>for</strong>m cancer outlier profile analysis.<br />
ctc Tools to export and import Tree and Cluster to other programs.<br />
daMA Functions <strong>for</strong> the efficient design of factorial two-color microarray experiments<br />
and <strong>for</strong> the statistical analysis of factorial microarray data.<br />
diffGeneAnalysis<br />
Per<strong>for</strong>ms differential Gene expression Analysis.<br />
ecolitk Metadata and tools to work with E. coli.<br />
edd Expression density diagnostics: graphical methods and pattern recognition algorithms<br />
<strong>for</strong> distribution shape classification.<br />
exprExternal<br />
Implementation of exprSet using externalVectors.<br />
externalVector<br />
Basic class definitions and generics <strong>for</strong> external pointer based vector objects <strong>for</strong><br />
R.