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Titlebook: Bioinformatics and Computational Biology Solutions Using R and Bioconductor; Robert Gentleman,Vincent J. Carey,Sandrine Dudoit Book 2005 S

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發(fā)表于 2025-3-21 18:43:21 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Bioinformatics and Computational Biology Solutions Using R and Bioconductor
影響因子2023Robert Gentleman,Vincent J. Carey,Sandrine Dudoit
視頻videohttp://file.papertrans.cn/188/187196/187196.mp4
發(fā)行地址Describes R-based packages for bioinformatics and computational biology (BCB) created in the Bioconductor project www.bioconductor.org.Includes supplementary material:
學(xué)科分類Statistics for Biology and Health
圖書封面Titlebook: Bioinformatics and Computational Biology Solutions Using R and Bioconductor;  Robert Gentleman,Vincent J. Carey,Sandrine Dudoit Book 2005 S
影響因子.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 o
Pindex Book 2005
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,Theorie der r?umlichen Kerbwirkung,(cDNA arrays versus short oligonucleotide arrays). Traditional measures, such as Euclidean and Manhattan distances as well as correlation-based distances, are considered. Other dissimilarity functions, which involve comparisons of distributions based on the Kullback-Leibler and mutual information cr
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Distance Measures in DNA Microarray Data Analysis(cDNA arrays versus short oligonucleotide arrays). Traditional measures, such as Euclidean and Manhattan distances as well as correlation-based distances, are considered. Other dissimilarity functions, which involve comparisons of distributions based on the Kullback-Leibler and mutual information cr
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Book 2005ublicly 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 o
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,Theorie der r?umlichen Kerbwirkung,e dependency between pairs of variables, heatmaps for the visualization of matrix-like data, the visualization of distance relationships between objects, and the visualization of data along genomic coordinates.
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,Theorie der r?umlichen Kerbwirkung,samples. Most examples are based on microarray data, but the principles are much broader and apply to many other sources of data. In this overview, the basic concepts and assumptions are briefly sketched.
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