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Microarray Data Analysis

  • Kartonierter Einband
  • 273 Seiten
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In this new volume, renowned authors contribute fascinating, cutting-edge insights into microarray data analysis. Information on a... Weiterlesen
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In this new volume, renowned authors contribute fascinating, cutting-edge insights into microarray data analysis. Information on an array of topics is included in this innovative book including in-depth insights into presentations of genomic signal processing.

Information on an array of topics including genomic signal processing, matrix algebra and genetic networks, predictive models of gene regulation, comparing microarray studies, identifying progression-associated genes in astrocytoma, analysis of comparative genomic hybridization data on cDNA microarrays, statistical framework for gene expression analysis, and interpretation ingof microarray results with gene ontology and MeSH ontology

Use classic, novel, and state-of-the-art methods in a readily reproducible format

Master tricks of the trade, troubleshoot, and avoid known pitfalls

Table of Contents Chapter 1 Microarray Data Analysis: An Overview of Design, Methodology and Analysis Ashani T. Weeraratna and Dennis D. Taub Chapter 2 Genomic Signal Processing: From Matrix Algebra to Genetic Networks Orly Alter Chapter 3 Online Analysis of Microarray Data Using Artificial Neural Networks Braden Greer and Javed Khan Chapter 4 Signal Processing and the Design of Microarray Time Series Experiments Robert R. Klevecz, Caroline M. Li and James L. Bolen Chapter 5 Predictive Models of Gene Regulation: Application of Regression Methods to Microarray Data Debopriya Das and Michael Q. Zhang Chapter 6 Statistical Framework for Gene Expression Data Analysis Olga Modlich and Marc Munnes Chapter 7 Gene Expression Profiles and Prognostic Markers for Primary Breast Cancer Yixin Wang, Jan Kljin, Yi Zhang, David Atkins and John Foekens Chapter 8 Comparing microarray studies Mayte Suárez-Fariñas and Marcelo O. Magnasco Chapter 9 A Pitfall in Series of Microarrays: The Position of Probes Affects the Cross Correlation of Gene Expression Profiles Gábor Balázsi and Zoltán N. Oltvai Chapter 10 In Depth Query of Large Genomes using Tiling Arrays Manoj Pratim Samanta, Waraporn Tongprasit and Viktor Stolc Chapter 11 Analysis of Comparative Genomic Hybridization Data on cDNA Microarrays Sven Bilke and Javed Khan Chapter 12 Integrated high-resolution genome-wide analysis of gene dosage and gene expression in human brain tumors Dejan Juric, Claudia Bredel, Branimir I. Sikic, and Markus Bredel Chapter 13 Progression-Associated Genes in Astrocytoma Identified by Novel Microarray Gene Expression Data Reanalysis Tobey J. MacDonald, Ian F. Pollack, Hideho Okada, Soumyaroop Bhattacharya, and JamesLyons-Weiler Chapter 14 Interpreting Microarray Results with Gene Ontology and MeSH Ontology John D. Osborne, Lihua (Julie) Zhu, Simon M. Lin, and Warren A. Kibbe Chapter 15 Incorporation of Gene Ontology Annotations to Enhance Microarray Data Analysis Michael F. Ochs, Aidan J. Peterson, Andrew Kossenkov, and Ghislain Bidaut Chapter 16 Predicting Survival in Follicular Lymphoma using Tissue Microarrays Michael J. Korenberg, Pedro Farinha, and Randy D. Gascoyne


Titel: Microarray Data Analysis
Untertitel: Methods and Applications
EAN: 9781627039093
ISBN: 978-1-62703-909-3
Format: Kartonierter Einband
Herausgeber: Springer, Berlin
Genre: Medizin
Anzahl Seiten: 273
Gewicht: 444g
Größe: H235mm x B235mm x T155mm
Jahr: 2014
Untertitel: Englisch
Auflage: 2007

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