Bioinformatics and Computational Biology Solutions Using R and Bioconductor (Statistics for Biology and Health)

ISBN 10: 0387251464 / ISBN 13: 9780387251462

Edité par Springer, 2005

In. N° de réf. du vendeur ria9780387251462_new

Synopsis :

Bioconductor is a widely used open source and open development software project for the analysis and comprehension of data arising from high-throughput experimentation in genomics and molecular biology. This volume's coverage is broad and ranges across most of the key capabilities of the Bioconductor project, including

importation and preprocessing of high-throughput data from microarray, proteomic, and flow cytometry platforms

curation and delivery of biological metadata for use in statistical modeling and interpretation

statistical analysis of high-throughput data, including machine learning and visualization,

modeling and visualization of graphs and networks.

Revue de presse: "This book provides an in-depth demonstration of the potential of the Bioconductor project, through a varied mixture of descriptions, figures and examples. ... The book ... is an exciting opportunity for researchers to learn directly from the software developers themselves. The range of material covered by the book is diverse and well structured. An abundance of fully worked case studies illustrate the methods in practice. ... it should be a must for any researcher considering getting started with the software ... ." --Rebecca Walls, Journal of Applied Statistics, Vol. 34 (3), 2007

"The book has several nice touches that readers will appreciate. First, the liberal use of color shows the full capabilities of Bioconductor pakages and brings the material to life. Second, color figures are dispersed throughout the text rather than being relegated to a central section of color plates. Third, the index indicates whether a term references a package, function or class. This book is an excellent resource... In summary, this book is a must have for any Bioconductor user." --J. Wade Davis, Journal of the American Statistical Association, Vol. 102, No. 477, 2007

"This book is solid evidence of the influence that quantitative researchers can have on biological investigations. Organized into separate chapters of shared authorship, the book provides a valuable overview of the impact that the authors and their colleagues have had on the analysis of genomic data." --R.W. Doerge, Biostatistics, December 2006

Détails bibliographiques

Titre : Bioinformatics and Computational Biology ...
Éditeur : Springer
Date d'édition : 2005
Reliure : Couverture rigide
Etat : New