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Springer Bioinformatics and Computational Biology Using R

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Description

Master high-throughput data analysis with Bioinformatics and Computational Biology Solutions Using R and Bioconductor. Published by Springer as part of the Statistics for Biology and Health series, this volume provides a deep look into the Bioconductor project. Bioconductor is an open source software project designed for the analysis and comprehension of data from genomics and molecular biology experiments. This book covers essential capabilities, including the importation and preprocessing of high-throughput data from microarray, proteomic, and flow cytometry platforms. Readers will learn about the curation and delivery of biological metadata, which is necessary for effective statistical modeling and interpretation. This resource is built upon the R statistical computing environment, making it an essential guide for researchers working with complex biological datasets.

Key Features

This Springer publication covers the Bioconductor project to assist with the analysis of high-throughput genomics and molecular biology data.

Learn techniques for the importation and preprocessing of data from microarray, proteomic, and flow cytometry platforms.

The text provides guidance on the curation and delivery of biological metadata for use in statistical modeling.

This volume is part of the Statistics for Biology and Health series, focusing on the R statistical computing environment.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
31 August 2005
Listed Since
15 February 2007

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