In this volume, the authors present a collection of cases to apply Bioconductor tools in the analysis of microarray gene expression data. Each chapter describes an analysis of real data using hands-on example driven approaches. Short exercises are included.
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.
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Bioconductor Case Studies von Florian Hahne - mit der ISBN: 9780387772400
Annotation; Bioinformatics; Clustering; Computational biology; Computer; Machine learning; Microarray; Networks; biology; calculus; classification; genome; modeling; A; Life Sciences; Computational and Systems Biology; Mathematical and Computational Biology; Biostatistics; Bioinformatics; Mathematics and Statistics, Online-Buchhandlung
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