Bioinformatics And Computational Biology Solutions Using R And Bioconductor (Hardcover)

Preprocessing overview -W. Huber, R. A. Irizarry, R. Gentleman.- Preprocessing High-density Oligonucleotide Arrays -B. M. Bolstad, R. A. Irizarry, L. Gautier, Z. Wu.- Quality Assessment of Affymetrix GeneChip Data -B. M. Bolstad, F. Collin, J. Brettschneider, K. Simpson, L. Cope, R. Irizarry, T. P. Speed.- Preprocessing Two-color Spotted Arrays -Y. H. Yang and A. C. Paquet.- Cell-based assays-W. Huber and F. Hahne.- SELDI-TOF Mass Spectrometry Protein Data -X. Li, R. Gentleman, X. Lu, Q. Shi, J.D. Iglehart, L. Harris and A. Miron.- Meta-data Resources and Tools in Bioconductor-R. Gentleman, V. J. Carey, and J. Zhang .- Querying on line resources -V. J. Carey, D. Temple Lang, J. Gentry, J. Zhang and R.Gentleman.- Interactive Outputs -C. A. Smith, W. Huber and R. Gentleman.- Visualizing Data-W.Huber, X. Li and R. Gentleman.- Analysis overview-V.J. Carey and R. Gentleman.- Distance Measures in DNA Microarray Data Analysis-R. Gentleman, B. Ding, S. Dudoit, and J. Ibrahim.- Cluster Analysis of Genomic Data -K. S. Pollard and M. J. van der Laan.- Analysis of differential gene expression studies-D. Scholtens and A. von Heydebreck.- Multiple Testing Procedures: R multtest Package and Applications to Genomics -K. S. Pollard, S. Dudoit, and M. J. van der Laan.- Machine learning concepts and tools for statistical genomics-V. J. Carey.- Ensemble methods of computational inference -T. Hothorn, M. Dettling, P. Buhlmann.- Browser-Based Affymetrix Analysis and Annotation -C. A. Smith.- Introduction and motivating examples-R. Gentleman, W. Huber and V. J. Carey.- Graphs-W. Huber, R. Gentleman and V. J. Carey.-Bioconductor software for graphs -V. J. Carey, R. Gentleman, W. Huber and J. Gentry.- Case Studies using Graphs on Biological Data-R. Gentleman, D. Scholtens, B. Ding, V. J. Carey, and W. Huber.- Limma: Linear Models for Microarray Data -G. K. Smyth.- Classification with Gene Expression Data -M. Dettling.- From Cel files toannotated lists of interesting genes -R. A. Irizarry