Gentleman / Carey / Huber Bioinformatics and Computational Biology Solutions Using R and Bioconductor
2005
ISBN: 978-0-387-29362-2
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark
E-Book, Englisch, 474 Seiten, eBook
Reihe: Mathematics and Statistics (R0)
ISBN: 978-0-387-29362-2
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark
Full four-color book.
Some of the editors created the Bioconductor project and Robert Gentleman is one of the two originators of R.
All methods are illustrated with publicly available data, and a major section of the book is devoted to fully worked case studies.
Code underlying all of the computations that are shown is made available on a companion website, and readers can reproduce every number, figure, and table on their own computers.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
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. Bühlmann.- 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
