Methods of Microarray Data Analysis V

McConnell, Patrick|Lin, Simon|Hurban, Patrick

ISBN 10: 038734568X / ISBN 13: 9780387345680

Editore: Springer US, 2006

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Dedicated solely to the analysis of microarray dataUnique approach of presenting different methods by analyzing the same data set shows the strengths and weakness of each methodProvides a wide range of input from all types o. Codice articolo 458429368

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Titolo: Methods of Microarray Data Analysis V

Casa editrice: Springer US

Data di pubblicazione: 2006

Legatura: Gebunden

Condizione: New

Descrizione articolo

Riassunto:

This book is dedicated solely to the analysis of microarray data. Its unique approach of presenting different methods by analyzing the same data set shows the strengths and weakness of each method. Part of the book is devoted to review papers, which provide a more general look at various analytical approaches. It also presents some background readings for the advanced topics discussed in the CAMDA papers.

Dalla quarta di copertina:

Since the inception of microarrays, studies in this field have drastically evolved with analysis methods needing to advance in-step. The CAMDA conference plays a role in this ever-changing discipline by providing a forum in which investigators can analyze the same datasets using different methods.

Methods of Microarray Data Analysis V is the fifth book in this series, and focuses on the important issue of analyzing array data in a time series with correlating biological data. Previous books in this series focused on classification (Volume I), pattern recognition (Volume II), quality control issues (Volume III), and survival analysis (Volume IV).

In this volume, all investigators analyzed a single dataset on the lifecycle of the most deadly of malaria parasites, Plasmodium falciparum. The emphasis this year is on the application of novel and existing computational methodologies towards infectious disease. We highlight an introductory chapter by Raphael D. Isokpehi, a leading expert in the field of malaria. Ten of the papers presented at the conference are included, which range from the inference of genetic networks to the analysis of the spatial correlation of array data. This book is an excellent reference for academic and industrial researchers who want to keep abreast of the state-of-the-art in microarray data analysis.

Patrick McConnell is a researcher in the Duke Bioinformatics Group in the Duke Comprehensive Cancer Center.

Simon M. Lin is a faculty member in the Robert H. Lurie Comprehensive Cancer Center and associate director of Bioinformatics at Northwestern University.

Patrick Hurban is director of Investigational Genomics at Icoria, Inc., a Clinical Data company.