Analysis Of Microarray Gene Expression Data
Download Analysis Of Microarray Gene Expression Data full books in PDF, epub, and Kindle. Read online free Analysis Of Microarray Gene Expression Data ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Analysis of Microarray Gene Expression Data
Author | : Mei-Ling Ting Lee |
Publsiher | : Springer Science & Business Media |
Total Pages | : 378 |
Release | : 2004-04-30 |
Genre | : Mathematics |
ISBN | : 9780792370871 |
Download Analysis of Microarray Gene Expression Data Book in PDF, Epub and Kindle
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.
Analyzing Microarray Gene Expression Data
Author | : Geoffrey J. McLachlan,Kim-Anh Do,Christophe Ambroise |
Publsiher | : John Wiley & Sons |
Total Pages | : 366 |
Release | : 2005-02-18 |
Genre | : Mathematics |
ISBN | : 9780471726128 |
Download Analyzing Microarray Gene Expression Data Book in PDF, Epub and Kindle
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
Analysis of Microarray Gene Expression Data
Author | : Mei-Ling Ting Lee |
Publsiher | : Springer Science & Business Media |
Total Pages | : 377 |
Release | : 2007-05-08 |
Genre | : Science |
ISBN | : 9781402077883 |
Download Analysis of Microarray Gene Expression Data Book in PDF, Epub and Kindle
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.
Statistical Analysis of Gene Expression Microarray Data
Author | : Terry Speed |
Publsiher | : CRC Press |
Total Pages | : 237 |
Release | : 2003-03-26 |
Genre | : Mathematics |
ISBN | : 9780203011232 |
Download Statistical Analysis of Gene Expression Microarray Data Book in PDF, Epub and Kindle
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
Microarray Gene Expression Data Analysis
Author | : Helen Causton,John Quackenbush,Alvis Brazma |
Publsiher | : John Wiley & Sons |
Total Pages | : 176 |
Release | : 2009-04-01 |
Genre | : Science |
ISBN | : 9781444311563 |
Download Microarray Gene Expression Data Analysis Book in PDF, Epub and Kindle
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
Advanced Analysis Of Gene Expression Microarray Data
Author | : Aidong Zhang |
Publsiher | : World Scientific Publishing Company |
Total Pages | : 356 |
Release | : 2006-06-27 |
Genre | : Science |
ISBN | : 9789813106642 |
Download Advanced Analysis Of Gene Expression Microarray Data Book in PDF, Epub and Kindle
This book 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.Biomedical researchers will find this book invaluable for learning the cutting-edge methods for analyzing gene expression microarray data. Specifically, the coverage includes the following state-of-the-art methods:• Gene-based analysis: the latest novel clustering algorithms to identify co-expressed genes and coherent patterns in gene expression microarray data sets• Sample-based analysis: supervised and unsupervised methods for the reduction of the gene dimensionality to select significant genes. A series of approaches to disease classification and discovery are also described• Pattern-based analysis: methods for ascertaining the relationship between (subsets of) genes and (subsets of) samples. Various novel pattern-based clustering algorithms to find the coherent patterns embedded in the sub-attribute spaces are discussed• Visualization tools: various methods for gene expression data visualization. The visualization process is intended to transform the gene expression data set from high-dimensional space into a more easily understood two- or three-dimensional space.
Statistical Analysis of Gene Expression Microarray Data
Author | : Terry Speed |
Publsiher | : CRC Press |
Total Pages | : 332 |
Release | : 2003-03-26 |
Genre | : Mathematics |
ISBN | : 9781135441364 |
Download Statistical Analysis of Gene Expression Microarray Data Book in PDF, Epub and Kindle
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
Analysis of Microarray Gene Expression Data
Author | : Wolfgang Huber,Anja von Heydebreck,Martin Vingron |
Publsiher | : Unknown |
Total Pages | : 0 |
Release | : 2003 |
Genre | : DNA microarrays |
ISBN | : OCLC:1428168404 |
Download Analysis of Microarray Gene Expression Data Book in PDF, Epub and Kindle
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.