Table of Contents
Contributed Research Articles
Graphs and networks: Tools in Bioconductor (pp. 2-7)
Li Long, Vince Carey
Modeling package dependencies using graphs (pp. 8-12)
Seth Falcon
Image analysis for microscopy screens (pp. 12-16)
Oleg Sklyar, Wolfgang Huber
Beadarray: An R package to analyse Illumina BeadArrays (pp. 17-23)
Mark Dunning, Mike Smith, Natalie Thorne, Simon Tavaré
Transcript mapping with high-density tiling arrays (pp. 23-27)
Matthew Ritchie, Wolfgang Huber
Analyzing flow cytometry data with Bioconductor (pp. 27-32)
Nolwenn Le Meur, Florian Hahne
Protein complex membership estimation using apComplex (pp. 32-36)
Denise Scholtens
SNP metadata access and use with Bioconductor (pp. 36-39)
Vince Carey
Integrating biological data resources into R with biomaRt (pp. 40-45)
Steffen Durinck
Identifying interesting genes with siggenes (pp. 45-50)
Holger Schwender, Andreas Krause, Katja Ickstadt
Reverse engineering genetic networks using the GeneNet package (pp. 50-53)
Juliane Schäfer, Rainer Opgen-Rhein, Korbinian Strimmer
A multivariate approach to integrating datasets using made4 and ade4 (pp. 54-58)
Aedín C. Culhane, Jean Thioulouse
Using amap and ctc packages for huge clustering (pp. 58-60)
Antoine Lucas, Sylvain Jasson
Model-based microarray image analysis (pp. 60-63)
Chris Fraley, Adrian E. Raftery
Sample size estimation for microarray experiments using the ssize package (pp. 64-68)
Gregory R. Warnes