Bioinformatics and Computational Biology Solutions Using R and Bioconductor - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Bioinformatics and Computational Biology Solutions Using R and Bioconductor write by Robert Gentleman. This book was released on 2005-12-29. Bioinformatics and Computational Biology Solutions Using R and Bioconductor available in PDF, EPUB and Kindle. 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.
Bioconductor Case Studies
Bioconductor Case Studies - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Bioconductor Case Studies write by Florian Hahne. This book was released on 2010-06-09. Bioconductor Case Studies available in PDF, EPUB and Kindle. 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 gene expression data. Topics covered include: (1) import and preprocessing of data from various sources; (2) statistical modeling of differential gene expression; (3) biological metadata; (4) application of graphs and graph rendering; (5) machine learning for clustering and classification problems; (6) gene set enrichment analysis. Each chapter of this book describes an analysis of real data using hands-on example driven approaches. Short exercises help in the learning process and invite more advanced considerations of key topics. The book is a dynamic document. All the code shown can be executed on a local computer, and readers are able to reproduce every computation, figure, and table.
R Programming for Bioinformatics
R Programming for Bioinformatics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook R Programming for Bioinformatics write by Robert Gentleman. This book was released on 2008-07-14. R Programming for Bioinformatics available in PDF, EPUB and Kindle. 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's first-hand exper
Multiple Testing Procedures with Applications to Genomics
Multiple Testing Procedures with Applications to Genomics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Multiple Testing Procedures with Applications to Genomics write by Sandrine Dudoit. This book was released on 2007-12-18. Multiple Testing Procedures with Applications to Genomics available in PDF, EPUB and Kindle. 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 of association between gene expression measures and biological annotation metadata; sequence analysis; and genetic mapping of complex traits using single nucleotide polymorphisms. The procedures are based on a test statistics joint null distribution and provide Type I error control in testing problems involving general data generating distributions, null hypotheses, and test statistics.
Molecular Data Analysis Using R
Molecular Data Analysis Using R - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Molecular Data Analysis Using R write by Csaba Ortutay. This book was released on 2017-02-06. Molecular Data Analysis Using R available in PDF, EPUB and Kindle. This book addresses the difficulties experienced by wet lab researchers with the statistical analysis of molecular biology related data. The authors explain how to use R and Bioconductor for the analysis of experimental data in the field of molecular biology. The content is based upon two university courses for bioinformatics and experimental biology students (Biological Data Analysis with R and High-throughput Data Analysis with R). The material is divided into chapters based upon the experimental methods used in the laboratories. Key features include: • Broad appeal--the authors target their material to researchers in several levels, ensuring that the basics are always covered. • First book to explain how to use R and Bioconductor for the analysis of several types of experimental data in the field of molecular biology. • Focuses on R and Bioconductor, which are widely used for data analysis. One great benefit of R and Bioconductor is that there is a vast user community and very active discussion in place, in addition to the practice of sharing codes. Further, R is the platform for implementing new analysis approaches, therefore novel methods are available early for R users.
