Guide to Analysis of DNA Microarray Data

Guide to Analysis of DNA Microarray Data
Publisher: John Wiley & Sons | Pages: 168 | 2004 | ISBN: 0471656046 | PDF | 6.9 MB

Written for biologists and medical researchers who don't have any special training in data analysis and statistics, Guide to Analysis of DNA Microarray Data, Second Edition begins where DNA array equipment leaves off: the image produced by the microarray. The text deals with the questions that arise starting at this point, providing an introduction to microarray technology, then moving on to image analysis, data analysis, cluster analysis, and beyond.
With all chapters rewritten, updated, and expanded to include the latest generation of technology and methods, Guide to Analysis of DNA Microarray Data, Second Edition offers practitioners reliable information using concrete examples and a clear, comprehensible style. This Second Edition features entirely new chapters on:
* Image analysis
* Experiment design
* Automated analysis, integrated analysis, and systems biology
* Interpretation of results
Intended for readers seeking practical applications, this text covers a broad spectrum of proven approaches in this rapidly growing technology. Additional features include further reading suggestions for each chapter, as well as a thorough review of available analysis software.
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Guide to Analysis of DNA Microarray Data, Second Edition

Guide to Analysis of DNA Microarray Data, Second Edition
John Wiley & Sons | 0471656046 | Edition - 2004 | PDF | 168 pages | 6.9 MB | Rapidshare & Aliceinwire

Written for biologists and medical researchers who don't have any special training in data analysis and statistics, Guide to Analysis of DNA Microarray Data, Second Edition begins where DNA array equipment leaves off: the image produced by the microarray. The text deals with the questions that arise starting at this point, providing an introduction to microarray technology, then moving on to image analysis, data analysis, cluster analysis, and beyond.
With all chapters rewritten, updated, and expanded to include the latest generation of technology and methods, Guide to Analysis of DNA Microarray Data, Second Edition offers practitioners reliable information using concrete examples and a clear, comprehensible style. This Second Edition features entirely new chapters on:
* Image analysis
* Experiment design
* Automated analysis, integrated analysis, and systems biology
* Interpretation of results
Intended for readers seeking practical applications, this text covers a broad spectrum of proven approaches in this rapidly growing technology. Additional features include further reading suggestions for each chapter, as well as a thorough review of available analysis software.
Download

Rapidshare

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Microarray Data Analysis: Methods and Applications (Methods in Molecular Biology, Vol 377)

Microarray Data Analysis: Methods and Applications (Methods in Molecular Biology, Vol 377)

Humana Press | 1588295400 | Edition - 2007 | PDF | 273 pages | 3.46 MB | Rapidshare & Megaupload

In this new volume, renowned authors contribute fascinating, cutting-edge insights into microarray data analysis. This innovative book includes in-depth presentations of genomic signal processing, artificial neural network use for microarray data analysis, signal processing and design of microarray time series experiments, application of regression methods, gene expression profiles and prognostic markers for primary breast cancer, and factors affecting the cross-correlation of gene expression profiles. Also detailed are use of tiling arrays for large genome analysis, comparative genomic hybridization data on cDNA microarrays, integrated high-resolution genome-wide analysis of gene dosage and gene expression in human brain tumors, gene and MeSH ontology, and survival prediction in follicular lymphoma using tissue microarrays.
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Analyzing Microarray Gene Expression Data

Analyzing Microarray Gene Expression Data

Publisher: Wiley | Language: English | ISBN: 0471226165 | 320 pages | Data: 2004 | PDF | 17.8 Mb

Description: Emphasis on clustering of data of gene tissues. Includes new research findings and activities in molecular biology. Highlights the important general field of bioinformatics and genomics and discusses the impact of microarray analysis on both

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