Medical Biostatistics for Complex Diseases

Medical Biostatistics for Complex Diseases

Editor(s): Frank Emmert-Streib, Matthias Dehmer

Published Online: 19 JUL 2010

Print ISBN: 9783527325856

Online ISBN: 9783527630332

DOI: 10.1002/9783527630332

About this Book

A collection of highly valuable statistical and computational approaches designed for developing powerful methods to analyze large-scale high-throughput data derived from studies of complex diseases. Such diseases include cancer and cardiovascular disease, and constitute the major health challenges in industrialized countries. They are characterized by the systems properties of gene networks and their interrelations, instead of individual genes, whose malfunctioning manifests in pathological phenotypes, thus making the analysis of the resulting large data sets particularly challenging. This is why novel approaches are needed to tackle this problem efficiently on a systems level. Written by computational biologists and biostatisticians, this book is an invaluable resource for a large number of researchers working on basic but also applied aspects of biomedical data analysis emphasizing the pathway level.

Table of contents

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  1. Part One: General Biological and Statistical Basics

  2. Part Two: Statistical and Computational Analysis Methods

    1. Chapter 11

      An Introduction to Time-Varying Connectivity Estimation for Gene Regulatory Networks (pages 205–230)

      André Fujita, João Ricardo Sato, Marcos Angelo Almeida Demasi, Satoru Miyano, Mari Cleide Sogayar and Carlos Eduardo Ferreira

    2. Chapter 15

      Predicting Cancer Survival Using Expression Patterns (pages 305–323)

      Anupama Reddy, Louis-Philippe Kronek, A. Rose Brannon, Michael Seiler, Shridar Ganesan, W. Kimryn Rathmell and Gyan Bhanot

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