High-Dimensional Data Analysis in Cancer Research - Couverture rigide

Couverture rigide

ISBN 10 : 0387697632 ISBN 13 : 9780387697635

Editeur : Springer-Verlag New York Inc., 2008

Synopsis

Multivariate analysis is a mainstay of statistical tools in the analysis of biomedical data. It concerns with associating data matrices of n rows by p columns, with rows representing samples (or patients) and columns attributes of samples, to some response variables, e.g., patients outcome. Classically, the sample size n is much larger than p, the number of variables. The properties of statistical models have been mostly discussed under the assumption of fixed p and infinite n. The advance of biological sciences and technologies has revolutionized the process of investigations of cancer. The biomedical data collection has become more automatic and more extensive. We are in the era of p as a large fraction of n, and even much larger than n. Take proteomics as an example. Although proteomic techniques have been researched and developed for many decades to identify proteins or peptides uniquely associated with a given disease state, until recently this has been mostly a laborious process, carried out one protein at a time. The advent of high throughput proteome-wide technologies such as liquid chromatography-tandem mass spectroscopy make it possible to generate proteomic signatures that facilitate rapid development of new strategies for proteomics-based detection of disease. This poses new challenges and calls for scalable solutions to the analysis of such high dimensional data. In this volume, we will present the systematic and analytical approaches and strategies from both biostatistics and bioinformatics to the analysis of correlated and high-dimensional data.

A propos du livre

Présentation de l'éditeur

This volume presents the systematic and analytical approaches and strategies from both biostatistics and bioinformatics to the analysis of correlated and high-dimensional data. It poses new challenges and calls for scalable solutions.

Détails de l'édition

• Éditeur: Springer-Verlag New York Inc.
• Date d'édition: 2008
• Langue: anglais
• ISBN 10: 0387697632
• ISBN 13: 9780387697635
• Reliure: Relié
• Numéro d'édition: 1
• Nombre de pages: 400
• Éditeur: Li Xiaochun, Xu Ronghui
• Coordonnées du fabricant: ProductSafety@springernature.com; ProductSafety@springernature.com; ; Poststr. 9; Darmstadt; 64293; Allemagne