Bioinformatics and Computational Biology Solutions Using R and Bioconductor

This book PDF is perfect for those who love Computers genre, written by Robert Gentleman and published by Springer Science & Business Media which was released on 29 December 2005 with total hardcover pages 478. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Bioinformatics and Computational Biology Solutions Using R and Bioconductor books below.

Bioinformatics and Computational Biology Solutions Using R and Bioconductor

Author	: Robert Gentleman
File Size	: 40,8 Mb
Publisher	: Springer Science & Business Media
Language	: English
Release Date	: 29 December 2005
ISBN	: 9780387293622
Pages	: 478 pages

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Bioinformatics and Computational Biology Solutions Using R and Bioconductor by Robert Gentleman Book PDF Summary

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.

Bioinformatics and Computational Biology Solutions Using R and Bioconductor by Robert Gentleman,Vincent Carey,Wolfgang Huber,Rafael Irizarry,Sandrine Dudoit

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R Programming for Bioinformatics by Robert Gentleman

Due to its data handling and modeling capabilities as well as its flexibility, R is becoming the most widely used software in bioinformatics. R Programming for Bioinformatics explores the programming skills needed to use this software tool for the solution of bioinformatics and computational biology problems. Drawing on the author’

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Bioconductor Case Studies by Florian Hahne,Wolfgang Huber,Robert Gentleman,Seth Falcon

Bioconductor software has become a standard tool for the analysis and comprehension of data from high-throughput genomics experiments. Its application spans a broad field of technologies used in contemporary molecular biology. In this volume, the authors present a collection of cases to apply Bioconductor tools in the analysis of microarray

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Over 60 recipes to model and handle real-life biological data using modern libraries from the R ecosystem Key FeaturesApply modern R packages to handle biological data using real-world examplesRepresent biological data with advanced visualizations suitable for research and publicationsHandle real-world problems in bioinformatics such as next-generation sequencing, metagenomics, and automating analysesBook

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Multiple Testing Procedures with Applications to Genomics by Sandrine Dudoit,Mark J. van der Laan

This book establishes the theoretical foundations of a general methodology for multiple hypothesis testing and discusses its software implementation in R and SAS. These are applied to a range of problems in biomedical and genomic research, including identification of differentially expressed and co-expressed genes in high-throughput gene expression experiments; tests

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