Analysis Of Microarray Gene Expression Data

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Analyzing Microarray Gene Expression Data

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Author : Geoffrey J. McLachlan
language : en
Publisher: John Wiley & Sons
Release Date : 2005-02-18

Analyzing Microarray Gene Expression Data written by Geoffrey J. McLachlan and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-02-18 with Mathematics categories.

A multi-discipline, hands-on guide to microarray analysis of biological processes Analyzing Microarray Gene Expression Data provides a comprehensive review of available methodologies for the analysis of data derived from the latest DNA microarray technologies. Designed for biostatisticians entering the field of microarray analysis as well as biologists seeking to more effectively analyze their own experimental data, the text features a unique interdisciplinary approach and a combined academic and practical perspective that offers readers the most complete and applied coverage of the subject matter to date. Following a basic overview of the biological and technical principles behind microarray experimentation, the text provides a look at some of the most effective tools and procedures for achieving optimum reliability and reproducibility of research results, including: An in-depth account of the detection of genes that are differentially expressed across a number of classes of tissues Extensive coverage of both cluster analysis and discriminant analysis of microarray data and the growing applications of both methodologies A model-based approach to cluster analysis, with emphasis on the use of the EMMIX-GENE procedure for the clustering of tissue samples The latest data cleaning and normalization procedures The uses of microarray expression data for providing important prognostic information on the outcome of disease

Microarray Gene Expression Data Analysis

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Author : Helen Causton
language : en
Publisher: John Wiley & Sons
Release Date : 2009-04-01

Microarray Gene Expression Data Analysis written by Helen Causton and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-04-01 with Science categories.

This guide covers aspects of designing microarray experiments and analysing the data generated, including information on some of the tools that are available from non-commercial sources. Concepts and principles underpinning gene expression analysis are emphasised and wherever possible, the mathematics has been simplified. The guide is intended for use by graduates and researchers in bioinformatics and the life sciences and is also suitable for statisticians who are interested in the approaches currently used to study gene expression. Microarrays are an automated way of carrying out thousands of experiments at once, and allows scientists to obtain huge amounts of information very quickly Short, concise text on this difficult topic area Clear illustrations throughout Written by well-known teachers in the subject Provides insight into how to analyse the data produced from microarrays

Analysis Of Microarray Gene Expression Data

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Author : Mei-Ling Ting Lee
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-05-08

Analysis Of Microarray Gene Expression Data written by Mei-Ling Ting Lee and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-05-08 with Science categories.

After genomic sequencing, microarray technology has emerged as a widely used platform for genomic studies in the life sciences. Microarray technology provides a systematic way to survey DNA and RNA variation. With the abundance of data produced from microarray studies, however, the ultimate impact of the studies on biology will depend heavily on data mining and statistical analysis. The contribution of this book is to provide readers with an integrated presentation of various topics on analyzing microarray data.

Advanced Analysis Of Gene Expression Microarray Data

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Author : Aidong Zhang
language : en
Publisher: World Scientific
Release Date : 2006

Advanced Analysis Of Gene Expression Microarray Data written by Aidong Zhang and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Science categories.

Focuses on the development and application of the latest advanced data mining, machine learning, and visualization techniques for the identification of interesting, significant, and novel patterns in gene expression microarray data. Describes cutting-edge methods for analyzing gene expression microarray data. Coverage includes gene-based analysis, sample-based analysis, pattern-based analysis and visualization tools.

Analysis Of Microarray Gene Expression Data

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Author : Wolfgang Huber
language : en
Publisher:
Release Date : 2003

Analysis Of Microarray Gene Expression Data written by Wolfgang Huber and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with DNA microarrays categories.

This article reviews the methods utilized in processing and analysis of gene expression data generated using DNA microarrays. This type of experiment allows to determine relative levels of mRNA abundance in a set of tissues or cell populations for thousands of genes simultaneously. Naturally, such an experiment requires computational and statistical analysis techniques. At the outset of the processing pipeline, the computational procedures are largely determined by the technology and experimental setup that are used. Subsequently, as more reliable intensity values for genes emerge, pattern discovery methods come into play. The most striking peculiarity of this kind of data is that one usually obtains measurements for thousands of genes for only a much smaller number of conditions. This is at the root of several of the statistical questions discussed here.

Model Based Cluster Analysis Of Microarray Gene Expression Data

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Author : Yi Qu
language : en
Publisher:
Release Date : 2005

Model Based Cluster Analysis Of Microarray Gene Expression Data written by Yi Qu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Cluster analysis categories.

The Analysis Of Gene Expression Data

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Author : Giovanni Parmigiani
language : en
Publisher: Springer Science & Business Media
Release Date : 2003-04-08

The Analysis Of Gene Expression Data written by Giovanni Parmigiani and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-04-08 with Medical categories.

This book presents practical approaches for the analysis of data from gene expression micro-arrays. It describes the conceptual and methodological underpinning for a statistical tool and its implementation in software. The book includes coverage of various packages that are part of the Bioconductor project and several related R tools. The materials presented cover a range of software tools designed for varied audiences.

Statistical Analysis Of Gene Expression Microarray Data

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Author : Terry Speed
language : en
Publisher: CRC Press
Release Date : 2003-03-26

Statistical Analysis Of Gene Expression Microarray Data written by Terry Speed and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-03-26 with Mathematics categories.

Although less than a decade old, the field of microarray data analysis is now thriving and growing at a remarkable pace. Biologists, geneticists, and computer scientists as well as statisticians all need an accessible, systematic treatment of the techniques used for analyzing the vast amounts of data generated by large-scale gene expression studies

Data Storage For Cluster Analysis Of Microarray Gene Expression Data

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Author : Yan Yang
language : en
Publisher:
Release Date : 2004

Data Storage For Cluster Analysis Of Microarray Gene Expression Data written by Yan Yang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Cluster analysis categories.

Microarray technology has now becoming a systematical way to study the expression level of thousands of genes over thousands of conditions. The large-scale, high-throughput experimental methods require analysis and information processing to match. Cluster analysis of gene expression data is one of the most important analysis steps in microarray technology. By using statistical algorithms, the purpose of cluster analysis is to group genes or samples together according to their similarities in gene expression profiles. In this thesis, we study the cluster analysis of microarray gene expression data, and analyze the data required for the clustering process. By realizing the MicroArray Gene Expression (MAGE) data standard, we design an object data model for cluster analysis of gene expression data, and construct a relational database schema. Furthermore, we integrate the database design to an existing open source microarray application--BASE (BioArray Software Environment). To validate the database, we modify a Java-based open source cluster analysis application--MeV (MultiExperiment Viewer). Therefore, we are able to take the gene expression data from BASE, to run the cluster application on MeV, and to store the generated clustering data back to the modified BASE database.

Clustering Analysis Of Microarray Gene Expression Data

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Author : Lap Keung Szeto
language : en
Publisher:
Release Date : 2005

Clustering Analysis Of Microarray Gene Expression Data written by Lap Keung Szeto and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with DNA microarrays categories.