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| Author | : Terry Speed |
| Publisher | : CRC Press |
| Total Pages | : 237 |
| Release | : 2003-03-26 |
| Genre | : Mathematics |
| ISBN | : 0203011236 |
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
| Author | : Simon M. Lin |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 192 |
| Release | : 2012-12-06 |
| Genre | : Science |
| ISBN | : 1461508738 |
Download Methods of Microarray Data Analysis Book in PDF, ePub and Kindle
Microarray technology is a major experimental tool for functional genomic explorations, and will continue to be a major tool throughout this decade and beyond. The recent explosion of this technology threatens to overwhelm the scientific community with massive quantities of data. Because microarray data analysis is an emerging field, very few analytical models currently exist. Methods of Microarray Data Analysis is one of the first books dedicated to this exciting new field. In a single reference, readers can learn about the most up-to-date methods ranging from data normalization, feature selection and discriminative analysis to machine learning techniques. Currently, there are no standard procedures for the design and analysis of microarray experiments. Methods of Microarray Data Analysis focuses on two well-known data sets, using a different method of analysis in each chapter. Real examples expose the strengths and weaknesses of each method for a given situation, aimed at helping readers choose appropriate protocols and utilize them for their own data set. In addition, web links are provided to the programs and tools discussed in several chapters. This book is an excellent reference not only for academic and industrial researchers, but also for core bioinformatics/genomics courses in undergraduate and graduate programs.
| Author | : Shailaja R. Deshmukh |
| Publisher | : Alpha Science International, Limited |
| Total Pages | : 354 |
| Release | : 2007 |
| Genre | : Business & Economics |
| ISBN | : |
Download Microarray Data Book in PDF, ePub and Kindle
Functional Genomics, a branch of bioinformatics, is essentially an interdisciplinary subject in which biologists, statisticians and computer experts interact to analyze the microarray data. This book caters to the needs of all the three disciplines. For biologists and computer scientists, it explains concepts of statistics and statistical inference. For Biologists and Statisticians, it provides annotated R programs to analyze microarray data. For Statisticians and Computer scientists, it explains basics of biology relevant to microarray experiment. Thus, the book will be useful to scientists from all the three disciplines, with not much knowledge of other disciplines, to analyze microarray data and interpret the results.
| Author | : Andrei Y. Yakovlev |
| Publisher | : Humana Press |
| Total Pages | : 212 |
| Release | : 2016-08-23 |
| Genre | : Medical |
| ISBN | : 9781493950799 |
Download Statistical Methods for Microarray Data Analysis Book in PDF, ePub and Kindle
Microarrays for simultaneous measurement of redundancy of RNA species are used in fundamental biology as well as in medical research. Statistically,a microarray may be considered as an observation of very high dimensionality equal to the number of expression levels measured on it. In Statistical Methods for Microarray Data Analysis: Methods and Protocols, expert researchers in the field detail many methods and techniques used to study microarrays, guiding the reader from microarray technology to statistical problems of specific multivariate data analysis. Written in the highly successful Methods in Molecular BiologyTM series format, the chapters include the kind of detailed description and implementation advice that is crucial for getting optimal results in the laboratory. Thorough and intuitive, Statistical Methods for Microarray Data Analysis: Methods and Protocols aids scientists in continuing to study microarrays and the most current statistical methods.
| Author | : Andrei Y. Yakovlev |
| Publisher | : Humana Press |
| Total Pages | : 0 |
| Release | : 2013-02-06 |
| Genre | : Medical |
| ISBN | : 9781603273367 |
Download Statistical Methods for Microarray Data Analysis Book in PDF, ePub and Kindle
Microarrays for simultaneous measurement of redundancy of RNA species are used in fundamental biology as well as in medical research. Statistically,a microarray may be considered as an observation of very high dimensionality equal to the number of expression levels measured on it. In Statistical Methods for Microarray Data Analysis: Methods and Protocols, expert researchers in the field detail many methods and techniques used to study microarrays, guiding the reader from microarray technology to statistical problems of specific multivariate data analysis. Written in the highly successful Methods in Molecular BiologyTM series format, the chapters include the kind of detailed description and implementation advice that is crucial for getting optimal results in the laboratory. Thorough and intuitive, Statistical Methods for Microarray Data Analysis: Methods and Protocols aids scientists in continuing to study microarrays and the most current statistical methods.
| Author | : Sorin Draghici |
| Publisher | : CRC Press |
| Total Pages | : 1036 |
| Release | : 2016-04-19 |
| Genre | : Computers |
| ISBN | : 1439809763 |
Download Statistics and Data Analysis for Microarrays Using R and Bioconductor Book in PDF, ePub and Kindle
Richly illustrated in color, Statistics and Data Analysis for Microarrays Using R and Bioconductor, Second Edition provides a clear and rigorous description of powerful analysis techniques and algorithms for mining and interpreting biological information. Omitting tedious details, heavy formalisms, and cryptic notations, the text takes a hands-on,
| Author | : Geoffrey J. McLachlan |
| Publisher | : John Wiley & Sons |
| Total Pages | : 366 |
| Release | : 2005-02-18 |
| Genre | : Mathematics |
| ISBN | : 0471726125 |
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
| Author | : Helen Causton |
| Publisher | : John Wiley & Sons |
| Total Pages | : 176 |
| Release | : 2009-04-01 |
| Genre | : Science |
| ISBN | : 1444311565 |
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
| Author | : Ernst Wit |
| Publisher | : John Wiley & Sons |
| Total Pages | : 286 |
| Release | : 2004-07-23 |
| Genre | : Mathematics |
| ISBN | : 9780470849934 |
Download Statistics for Microarrays Book in PDF, ePub and Kindle
Interest in microarrays has increased considerably in the last ten years. This increase in the use of microarray technology has led to the need for good standards of microarray experimental notation, data representation, and the introduction of standard experimental controls, as well as standard data normalization and analysis techniques. Statistics for Microarrays: Design, Analysis and Inference is the first book that presents a coherent and systematic overview of statistical methods in all stages in the process of analysing microarray data – from getting good data to obtaining meaningful results. Provides an overview of statistics for microarrays, including experimental design, data preparation, image analysis, normalization, quality control, and statistical inference. Features many examples throughout using real data from microarray experiments. Computational techniques are integrated into the text. Takes a very practical approach, suitable for statistically-minded biologists. Supported by a Website featuring colour images, software, and data sets. Primarily aimed at statistically-minded biologists, bioinformaticians, biostatisticians, and computer scientists working with microarray data, the book is also suitable for postgraduate students of bioinformatics.
| Author | : Matthias Dehmer |
| Publisher | : John Wiley & Sons |
| Total Pages | : 448 |
| Release | : 2008-03-17 |
| Genre | : Medical |
| ISBN | : 9783527318223 |
Download Analysis of Microarray Data Book in PDF, ePub and Kindle
This book is the first to focus on the application of mathematical networks for analyzing microarray data. This method goes well beyond the standard clustering methods traditionally used. From the contents: * Understanding and Preprocessing Microarray Data * Clustering of Microarray Data * Reconstruction of the Yeast Cell Cycle by Partial Correlations of Higher Order * Bilayer Verification Algorithm * Probabilistic Boolean Networks as Models for Gene Regulation * Estimating Transcriptional Regulatory Networks by a Bayesian Network * Analysis of Therapeutic Compound Effects * Statistical Methods for Inference of Genetic Networks and Regulatory Modules * Identification of Genetic Networks by Structural Equations * Predicting Functional Modules Using Microarray and Protein Interaction Data * Integrating Results from Literature Mining and Microarray Experiments to Infer Gene Networks The book is for both, scientists using the technique as well as those developing new analysis techniques.
