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Author: Leif E. Peterson
Publisher: John Wiley & Sons
ISBN: 0470170816
Category : Computers
Languages : en
Pages : 752
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Book Description
Wiley Series in Bioinformatics: Computational Techniques and Engineering Yi Pan and Albert Y. Zomaya, Series Editors Wide coverage of traditional unsupervised and supervised methods and newer contemporary approaches that help researchers handle the rapid growth of classification methods in DNA microarray studies Proliferating classification methods in DNA microarray studies have resulted in a body of information scattered throughout literature, conference proceedings, and elsewhere. This book unites many of these classification methods in a single volume. In addition to traditional statistical methods, it covers newer machine-learning approaches such as fuzzy methods, artificial neural networks, evolutionary-based genetic algorithms, support vector machines, swarm intelligence involving particle swarm optimization, and more. Classification Analysis of DNA Microarrays provides highly detailed pseudo-code and rich, graphical programming features, plus ready-to-run source code. Along with primary methods that include traditional and contemporary classification, it offers supplementary tools and data preparation routines for standardization and fuzzification; dimensional reduction via crisp and fuzzy c-means, PCA, and non-linear manifold learning; and computational linguistics via text analytics and n-gram analysis, recursive feature extraction during ANN, kernel-based methods, ensemble classifier fusion. This powerful new resource: Provides information on the use of classification analysis for DNA microarrays used for large-scale high-throughput transcriptional studies Serves as a historical repository of general use supervised classification methods as well as newer contemporary methods Brings the reader quickly up to speed on the various classification methods by implementing the programming pseudo-code and source code provided in the book Describes implementation methods that help shorten discovery times Classification Analysis of DNA Microarrays is useful for professionals and graduate students in computer science, bioinformatics, biostatistics, systems biology, and many related fields.
Author: Leif E. Peterson
Publisher: John Wiley & Sons
ISBN: 0470170816
Category : Computers
Languages : en
Pages : 752
Get Book Here
Book Description
Wiley Series in Bioinformatics: Computational Techniques and Engineering Yi Pan and Albert Y. Zomaya, Series Editors Wide coverage of traditional unsupervised and supervised methods and newer contemporary approaches that help researchers handle the rapid growth of classification methods in DNA microarray studies Proliferating classification methods in DNA microarray studies have resulted in a body of information scattered throughout literature, conference proceedings, and elsewhere. This book unites many of these classification methods in a single volume. In addition to traditional statistical methods, it covers newer machine-learning approaches such as fuzzy methods, artificial neural networks, evolutionary-based genetic algorithms, support vector machines, swarm intelligence involving particle swarm optimization, and more. Classification Analysis of DNA Microarrays provides highly detailed pseudo-code and rich, graphical programming features, plus ready-to-run source code. Along with primary methods that include traditional and contemporary classification, it offers supplementary tools and data preparation routines for standardization and fuzzification; dimensional reduction via crisp and fuzzy c-means, PCA, and non-linear manifold learning; and computational linguistics via text analytics and n-gram analysis, recursive feature extraction during ANN, kernel-based methods, ensemble classifier fusion. This powerful new resource: Provides information on the use of classification analysis for DNA microarrays used for large-scale high-throughput transcriptional studies Serves as a historical repository of general use supervised classification methods as well as newer contemporary methods Brings the reader quickly up to speed on the various classification methods by implementing the programming pseudo-code and source code provided in the book Describes implementation methods that help shorten discovery times Classification Analysis of DNA Microarrays is useful for professionals and graduate students in computer science, bioinformatics, biostatistics, systems biology, and many related fields.
Author: Richard M. Simon
Publisher: Springer Science & Business Media
ISBN: 0387218661
Category : Medical
Languages : en
Pages : 205
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Book Description
The analysis of gene expression profile data from DNA micorarray studies are discussed in this book. It provides a review of available methods and presents it in a manner that is intelligible to biologists. It offers an understanding of the design and analysis of experiments utilizing microarrays to benefit scientists. It includes an Appendix tutorial on the use of BRB-ArrayTools and step by step analyses of several major datasets using this software which is available from the National Cancer Institute.
Author: David B. Allison
Publisher: CRC Press
ISBN: 1420028790
Category : Mathematics
Languages : en
Pages : 391
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Book Description
Considered highly exotic tools as recently as the late 1990s, microarrays are now ubiquitous in biological research. Traditional statistical approaches to design and analysis were not developed to handle the high-dimensional, small sample problems posed by microarrays. In just a few short years the number of statistical papers providing approaches
Author: Pierre Baldi
Publisher:
ISBN: 9780511071676
Category : DNA microarrays
Languages : en
Pages : 213
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Book Description
DNA microarrays are revolutionizing biology and medicine. They can provide a snapshot of the level of gene expression in a cell and are therefore a powerful tool with which to study biological phenomena at the molecular level. This inter-disciplinary introduction will be essential reading for researchers of all disciplines.
Author: Sun-Chong Wang
Publisher: CRC Press
ISBN: 1420067281
Category : Mathematics
Languages : en
Pages : 256
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Book Description
Providing an interface between dry-bench bioinformaticians and wet-lab biologists, DNA Methylation Microarrays: Experimental Design and Statistical Analysis presents the statistical methods and tools to analyze high-throughput epigenomic data, in particular, DNA methylation microarray data. Since these microarrays share the same under
Author: David Bowtell
Publisher:
ISBN:
Category : Medical
Languages : en
Pages : 744
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Book Description
DNA microarray technology is a new and powerful means to analyze genomes and characterize patterns of gene expression. Its applications are widespread across the many fields of plant and animal biological and biomedical research. This manual, designed to extend and to complement the information in the best–selling Molecular Cloning,is a synthesis of the expertise and experience of more than 30 contributors—all innovators in a fast–moving field. DNA Microarraysprovides authoritative, detailed instruction on the design, construction, and applications of microarrays, as well as comprehensive descriptions of the software tools and strategies required for analysis of images and data.
Author: Daniel H. Geschwind
Publisher: MIT Press
ISBN: 9780262072298
Category : Medical
Languages : en
Pages : 366
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Book Description
The effort to sequence the human genome has generated a new discipline, functional genomics, or the study of the relationship between the genetic code and its biologic potential. Gene expression studies are made possible not only by the decoding of the human genome, but by the development of new technologies. The preeminent technology in this area, DNA microarrays, is helping to revolutionize the field of neuroscience.
Author: Dhammika Amaratunga
Publisher: John Wiley & Sons
ISBN: 0470317965
Category : Mathematics
Languages : en
Pages : 270
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Book Description
A cutting-edge guide to the analysis of DNA microarray data Genomics is one of the major scientific revolutions of this century, and the use of microarrays to rapidly analyze numerous DNA samples has enabled scientists to make sense of mountains of genomic data through statistical analysis. Today, microarrays are being used in biomedical research to study such vital areas as a drug’s therapeutic value–or toxicity–and cancer-spreading patterns of gene activity. Exploration and Analysis of DNA Microarray and Protein Array Data answers the need for a comprehensive, cutting-edge overview of this important and emerging field. The authors, seasoned researchers with extensive experience in both industry and academia, effectively outline all phases of this revolutionary analytical technique, from the preprocessing to the analysis stage. Highlights of the text include: A review of basic molecular biology, followed by an introduction to microarrays and their preparation Chapters on processing scanned images and preprocessing microarray data Methods for identifying differentially expressed genes in comparative microarray experiments Discussions of gene and sample clustering and class prediction Extension of analysis methods to protein array data Numerous exercises for self-study as well as data sets and a useful collection of computational tools on the authors’ Web site make this important text a valuable resource for both students and professionals in the field.
Author: Mark Schena
Publisher: Practical Approach Series
ISBN: 9780199637768
Category : Medical
Languages : en
Pages : 236
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Book Description
DNA Microarrays: A Practical Approach is the first comprehensive overview of an exciting and powerful new technology. DNA microarrays, or biochips, are small glass chips embedded with ordered rows of DNA, providing a massive parallel platform for data gathering and representing a fundamental technical advance in biomedical research. Such biochips gather data at an unprecedented rate by enabling the use of advanced fabrication, detection, and data mining technologies. Written and edited by experts in the field, this book provides fascinating insight into this remarkable advancement. It opens with an introduction to the technology of DNA microarrays, emphasizing the methodological fundamentals of biochips, and continues with descriptions of the use of confocal scanning in microarray detection and techniques for the efficient cloning and screening of differentially expressed genes. The chapters address many topics, among them assay optimization, antisense scanning arrays, the manufacture of molecular arrays, and gene expression analysis. Also addressed are the uses of expression data in bioinformatics, of active microelectronic arrays for DNA hybridization analysis, and of microarray technology in pharmacogenomics. DNA Microarrays: A Practical Approach is ideal for researchers investigating patterns of gene expression (and the relationship with disease), and it is essential for any researcher interested in the use of biochips.
Author: Jang B. Rampal
Publisher: Springer Science & Business Media
ISBN: 1592592341
Category : Science
Languages : en
Pages : 268
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Book Description
Microarray technology provides a highly sensitive and precise te- nique for obtaining information from biological samples, with the added advantage that it can handle a large number of samples simultaneously that may be analyzed rapidly. Researchers are applying microarray technology to understand gene expression, mutation analysis, and the sequencing of genes. Although this technology has been experimental, and thus has been through feasibility studies, it has just recently entered into widespread use for advanced research. The purpose of DNA Arrays: Methods and Protocols is to provide instruction in designing and constructing DNA arrays, as well as hybridizing them with biological samples for analysis. An additional purpose is to p- vide the reader with a broad description of DNA-based array technology and its potential applications. This volume also covers the history of DNA arrays—from their conception to their ready off-the-shelf availability—for readers who are new to array technology as well as those who are well versed in this field. Stepwise, detailed experimental procedures are described for constructing DNA arrays, including the choice of solid support, attachment methods, and the general conditions for hybridization. With microarray technology, ordered arrays of oligonucleotides or other DNA sequences are attached or printed to the solid support using au- mated methods for array synthesis. Probe sequences are selected in such a way that they have the appropriate sequence length, site of mutation, and T .
