Bioinformatics and Computational Biology Solutions Using R and Bioconductor - gebunden oder broschiert

EAN (ISBN-13): 9780387251462
ISBN (ISBN-10): 0387251464
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2005
Herausgeber: Robert Gentleman
496 Seiten
Gewicht: 0,991 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 2007-06-05T13:52:49+02:00 (Berlin)
Detailseite zuletzt geändert am 2024-02-24T05:14:32+01:00 (Berlin)
ISBN/EAN: 9780387251462

ISBN - alternative Schreibweisen:
0-387-25146-4, 978-0-387-25146-2
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: wolfgang, rafael, gentleman, irizar, robert huber, robert vincent, sandrine huber
Titel des Buches: sängers, computational statistics, bioinformatics and computational biology solutions using and bioconductor

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Daten vom Verlag:

Autor/in: Robert Gentleman
Titel: Statistics for Biology and Health; Bioinformatics and Computational Biology Solutions Using R and Bioconductor
Verlag: Springer; Springer US
474 Seiten
Erscheinungsjahr: 2005-08-31
New York; NY; US
Sprache: Englisch
241,99 € (DE)

BB; Hardcover, Softcover / Biologie/Sonstiges; DV-gestützte Biologie/Bioinformatik; Verstehen; Annotation; DNA; Processing; bioinformatics; biology; calculus; classification; cluster analysis; data analysis; genes; genome; genomics; machine learning; microarray; protein; Computational and Systems Biology; Biostatistics; Bioinformatics; Genetics and Genomics; Wahrscheinlichkeitsrechnung und Statistik; Genetik (nicht-medizinisch); EA; BA

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. Bioconductor is rooted in the open source statistical computing environment R. 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. The developers of the software, who are in many cases leading academic researchers, jointly authored chapters. All methods are illustrated with publicly available data, and a major section of the book is devoted to exposition of fully worked case studies. This book is more than a static collection of descriptive text, figures, and code examples that were run by the authors to produce the text; it is a dynamic document. 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. Robert Gentleman is Head of the Program in Computational Biology at the Fred Hutchinson Cancer Research Center in Seattle. He is one of the two authors of the original R system and a leading member of the R core team. Vincent Carey is Associate Professor of Medicine (Biostatistics), Channing Laboratory, Brigham and Women's Hospital, Harvard Medical School. Gentleman and Carey are co-founders of the Bioconductor project. Wolfgang Huber is Group Leader in the European Molecular Biology Laboratory at the European Bioinformatics Institute in Cambridge. He has made influential contributions to the error modeling of microarray data. Rafael Irizarry is Associate Professor of Biostatistics at the Johns Hopkins Bloomberg School of Public Health in Baltimore. He is co-developer of RMA and GCRMA, two of the most popular methodologies for preprocessing high-density oligonucleotide arrays. Sandrine Dudoit is Assistant Professor in the Department of Biostatistics at the University of California, Berkeley. She has made seminal discoveries in the fields of multiple testing and generalized cross-validation and spearheaded the deployment of these findings in applied genomic science.