£117.67

Springer Multiple Testing Procedures with Applications to Genomics

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Description

Master the theoretical foundations of multiple hypothesis testing with this specialized volume from the Springer Series in Statistics. This book provides a comprehensive guide to a general methodology designed for complex data analysis, making it an essential resource for researchers in biomedical and genomic fields. Beyond theory, the text focuses on practical application by discussing software implementation in R and SAS. This approach allows readers to apply advanced statistical procedures to real-world problems, such as identifying differentially expressed and co-expressed genes in high-throughput experiments. Whether you are working on sequence analysis, genetic mapping of complex traits using single nucleotide polymorphisms, or testing associations between gene expression and biological metadata, this book offers the technical framework needed for modern genomic research. It serves as a bridge between statistical theory and practical computational execution in high-throughput environments.

Key Features

Covers the theoretical foundations of a general methodology for multiple hypothesis testing to support advanced statistical research.

Provides practical guidance on software implementation using R and SAS for direct application to data sets.

Supports genomic research through methods for identifying differentially expressed and co-expressed genes in high-throughput experiments.

Assists in sequence analysis and the testing of associations between gene expression measures and biological annotation metadata.

Includes methodologies for genetic mapping of complex traits using single nucleotide polymorphisms (SNPs).

Product Specifications

Format
Paperback
Domain
Amazon UK
Release Date
25 November 2010
Listed Since
01 October 2010

Barcode

No barcode data available

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