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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.

Biomathematics. Biometry. Biostatistics --- Mathematical statistics --- Bioinformatics. --- R (Computer program language) --- Bio-informatique --- R (Langage de programmation) --- Bioconductor (Computer file) --- Bioinformatics --- R (Computer program language). --- Models, Theoretical --- Statistics as Topic --- Software --- Biology --- Computing Methodologies --- Epidemiologic Methods --- Biological Science Disciplines --- Investigative Techniques --- Health Care Evaluation Mechanisms --- Quality of Health Care --- Natural Science Disciplines --- Information Science --- Analytical, Diagnostic and Therapeutic Techniques and Equipment --- Public Health --- Health Care Quality, Access, and Evaluation --- Disciplines and Occupations --- Environment and Public Health --- Health Care --- Models, Statistical --- Programming Languages --- Computational Biology --- Health & Biological Sciences --- Biology - General --- EPUB-LIV-FT LIVSTATI SPRINGER-B --- GNU-S (Computer program language) --- Bio-informatics --- Biological informatics --- Computer science. --- Animal genetics. --- Statistics. --- Computer Science. --- Computational Biology/Bioinformatics. --- Statistics for Life Sciences, Medicine, Health Sciences. --- Animal Genetics and Genomics. --- Information science --- Computational biology --- Systems biology --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Genetics --- Informatics --- Science --- Data processing --- Domain-specific programming languages --- Bioconductor (Computer file). --- Monograph --- Statistics . --- Computational biology. --- Genomics. --- Genetic Techniques. --- Genetic Techniques --- Models, statistical --- Probability

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Statistical science --- Quantitative methods (economics) --- Operational research. Game theory --- stochastische analyse --- time series analysis --- informatietechnologie --- econometrie --- kansrekening --- statistisch onderzoek

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"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."--Jacket

Biomathematics. Biometry. Biostatistics --- Animal genetics. Animal evolution --- medische statistiek --- bio-informatica --- biostatistiek --- genetica --- biometrie --- Bioinformatics --- R (Computer program language) --- Computational biology --- Programming languages (Electronic computers) --- Computational Biology --- Models, Statistical --- Programming Languages --- Language, Programming --- Languages, Programming --- Programming Language --- Model, Statistical --- Models, Binomial --- Models, Polynomial --- Statistical Model --- Probabilistic Models --- Statistical Models --- Two-Parameter Models --- Binomial Model --- Binomial Models --- Model, Binomial --- Model, Polynomial --- Model, Probabilistic --- Model, Two-Parameter --- Models, Probabilistic --- Models, Two-Parameter --- Polynomial Model --- Polynomial Models --- Probabilistic Model --- Two Parameter Models --- Two-Parameter Model --- Statistics as Topic --- Biology --- Computer languages --- Computer program languages --- Computer programming languages --- Machine language --- Electronic data processing --- Languages, Artificial --- GNU-S (Computer program language) --- Domain-specific programming languages --- Bio-informatics --- Biological informatics --- Information science --- Systems biology --- methods --- Data processing --- Bioconductor (Computer file) --- Bio-Informatics --- Biology, Computational --- Computational Molecular Biology --- Molecular Biology, Computational --- Bio Informatics --- Bio-Informatic --- Bioinformatic --- Biologies, Computational Molecular --- Biology, Computational Molecular --- Computational Molecular Biologies --- Molecular Biologies, Computational --- Computational Chemistry --- Genomics

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Quantitative methods (economics) --- Geology. Earth sciences --- General ecology and biosociology --- Epidemiology --- Environmental protection. Environmental technology --- epidemiologie --- ecologie --- econometrie --- gegevensanalyse --- geologie --- milieutechnologie