Name: Meta-Analysis and Combining Information in Genetics and Genomics (en Inglés)
Price: 236450.00 CLP
Availability: InStock
Author: Guerra, Rudy ; Goldstein, Darlene R.
ISBN: 9781584885221

portada Meta-Analysis and Combining Information in Genetics and Genomics (en Inglés)

Formato

Libro Físico

Autor

Rudy Guerra

Darlene R. Goldstein

Editorial

CRC Press

Idioma

Inglés

N° páginas

360

Encuadernación

Tapa Dura

Dimensiones

23.6 x 15.5 x 2.5 cm

Peso

0.64 kg.

ISBN

158488522X

ISBN13

9781584885221

Categorías

Probabilidad y estadística
Evolución
Biotecnología

Meta-Analysis and Combining Information in Genetics and Genomics (en Inglés)

Rudy Guerra (Autor) · Darlene R. Goldstein (Autor) · CRC Press · Tapa Dura

Libro Físico

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$ 429.900

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Reseña del libro "Meta-Analysis and Combining Information in Genetics and Genomics (en Inglés)"

Novel Techniques for Analyzing and Combining Data from Modern Biological StudiesBroadens the Traditional Definition of Meta-AnalysisWith the diversity of data and meta-data now available, there is increased interest in analyzing multiple studies beyond statistical approaches of formal meta-analysis. Covering an extensive range of quantitative information combination methods, Meta-analysis and Combining Information in Genetics and Genomics looks at how to analyze multiple studies from a broad perspective.After presenting the basic ideas and tools of meta-analysis, the book addresses the combination of similar data types: genotype data from genome-wide linkage scans and data derived from microarray gene expression experiments. The expert contributors show how some data combination problems can arise even within the same basic framework and offer solutions to these problems. They also discuss the combined analysis of different data types, giving readers an opportunity to see data combination approaches in action across a wide variety of genome-scale investigations.As heterogeneous data sets become more common, biological understanding will be significantly aided by jointly analyzing such data using fundamentally sound statistical methodology. This book provides many novel techniques for analyzing data from modern biological studies that involve multiple data sets, either of the same type or multiple data sources.