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Springer Gene Expression Data Analysis Methods - Statistics for Biology

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Description

This practical guide presents comprehensive approaches for analysing gene expression microarray data, written by the developers of the tools themselves. The book covers the conceptual and methodological foundations underlying statistical analysis and software implementation, with detailed coverage of Bioconductor packages and related R tools. Designed for varied audiences, it provides essential guidance on software tools and techniques for researchers working with microarray datasets, offering both theoretical grounding and practical instruction for handling complex genomic data analysis tasks.

Key Features

Written by the developers of the methods and software, ensuring authoritative coverage of gene expression microarray analysis techniques.

Comprehensive coverage of Bioconductor packages and multiple R tools for statistical analysis of expression data.

Practical approaches and methodological underpinning explained for each statistical tool and software implementation.

Suitable for varied audiences, from beginners to advanced researchers working with microarray data analysis.

Part of the Statistics for Biology and Health series, providing rigorous scientific grounding for genomic research.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
05 May 2013
Listed Since
20 September 2013

Barcode

No barcode data available

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