Statistical Issues In The Analysis Of The Dna Microarray Data Normalization And Differential Expression
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Statistical Issues In The Analysis Of The Dna Microarray Data Normalization And Differential Expression
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Author : Yuanyuan Xiao
language : en
Publisher:
Release Date : 2004
Statistical Issues In The Analysis Of The Dna Microarray Data Normalization And Differential Expression written by Yuanyuan Xiao and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with DNA microarrays categories.
Exploration And Analysis Of Dna Microarray And Protein Array Data
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Author : Dhammika Amaratunga
language : en
Publisher: John Wiley & Sons
Release Date : 2009-09-25
Exploration And Analysis Of Dna Microarray And Protein Array Data written by Dhammika Amaratunga 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 2009-09-25 with Mathematics categories.
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.
Exploration And Analysis Of Dna Microarray And Other High Dimensional Data
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Author : Dhammika Amaratunga
language : en
Publisher: John Wiley & Sons
Release Date : 2014-01-27
Exploration And Analysis Of Dna Microarray And Other High Dimensional Data written by Dhammika Amaratunga 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 2014-01-27 with Mathematics categories.
Praise for the First Edition “...extremely well written...a comprehensive and up-to-date overview of this important field.” – Journal of Environmental Quality Exploration and Analysis of DNA Microarray and Other High-Dimensional Data, Second Edition provides comprehensive coverage of recent advancements in microarray data analysis. A cutting-edge guide, the Second Edition demonstrates various methodologies for analyzing data in biomedical research and offers an overview of the modern techniques used in microarray technology to study patterns of gene activity. The new edition answers the need for an efficient outline of all phases of this revolutionary analytical technique, from preprocessing to the analysis stage. Utilizing research and experience from highly-qualified authors in fields of data analysis, Exploration and Analysis of DNA Microarray and Other High-Dimensional Data, Second Edition features: A new chapter on the interpretation of findings that includes a discussion of signatures and material on gene set analysis, including network analysis New topics of coverage including ABC clustering, biclustering, partial least squares, penalized methods, ensemble methods, and enriched ensemble methods Updated exercises to deepen knowledge of the presented material and provide readers with resources for further study The book is an ideal reference for scientists in biomedical and genomics research fields who analyze DNA microarrays and protein array data, as well as statisticians and bioinformatics practitioners. Exploration and Analysis of DNA Microarray and Other High-Dimensional Data, Second Edition is also a useful text for graduate-level courses on statistics, computational biology, and bioinformatics.
Microarray Bioinformatics
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Author : Dov Stekel
language : en
Publisher: Cambridge University Press
Release Date : 2003-09-08
Microarray Bioinformatics written by Dov Stekel and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-09-08 with Medical categories.
This book is a comprehensive guide to all of the mathematics, statistics and computing you will need to successfully operate DNA microarray experiments. It is written for researchers, clinicians, laboratory heads and managers, from both biology and bioinformatics backgrounds, who work with, or who intend to work with microarrays. The book covers all aspects of microarray bioinformatics, giving you the tools to design arrays and experiments, to analyze your data, and to share your results with your organisation or with the international community. There are chapters covering sequence databases, oligonucleotide design, experimental design, image processing, normalisation, identifying differentially expressed genes, clustering, classification and data standards. The book is based on the highly successful Microarray Bioinformatics course at Oxford University, and therefore is ideally suited for teaching the subject at postgraduate or professional level.
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
Differential Expression Analysis Of Dna Microarray Data With Application To The Heat Shock Response Of Arabidopsis Thaliana
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Author : William R. Swindell
language : en
Publisher:
Release Date : 2007
Differential Expression Analysis Of Dna Microarray Data With Application To The Heat Shock Response Of Arabidopsis Thaliana written by William R. Swindell and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Arabidopsis thaliana categories.
Statistics And Data Analysis For Microarrays Using R And Bioconductor
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Author : Sorin Draghici
language : en
Publisher: CRC Press
Release Date : 2016-04-19
Statistics And Data Analysis For Microarrays Using R And Bioconductor written by Sorin Draghici and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-19 with Computers categories.
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, example-based approach that teaches students the basics of R and microarray technology as well as how to choose and apply the proper data analysis tool to specific problems. New to the Second EditionCompletely updated and double the size of its predecessor, this timely second edition replaces the commercial software with the open source R and Bioconductor environments. Fourteen new chapters cover such topics as the basic mechanisms of the cell, reliability and reproducibility issues in DNA microarrays, basic statistics and linear models in R, experiment design, multiple comparisons, quality control, data pre-processing and normalization, Gene Ontology analysis, pathway analysis, and machine learning techniques. Methods are illustrated with toy examples and real data and the R code for all routines is available on an accompanying downloadable resource. With all the necessary prerequisites included, this best-selling book guides students from very basic notions to advanced analysis techniques in R and Bioconductor. The first half of the text presents an overview of microarrays and the statistical elements that form the building blocks of any data analysis. The second half introduces the techniques most commonly used in the analysis of microarray data.
Molecular Biomethods Handbook
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Author : John M. Walker
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-11-04
Molecular Biomethods Handbook written by John M. Walker 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 2008-11-04 with Medical categories.
Recent advances in the biosciences have led to a range of powerful new technologies, particularly nucleic acid, protein and cell-based methodologies. The most recent insights have come to affect how scientists investigate and define cellular processes at the molecular level. Molecular Biomethods Handbook, 2nd Edition expands upon the techniques included in the first edition, providing theory, outlines of practical procedures, and applications for a range of techniques. Part A of the book describes nucleic acid methods, such as gene expression profiling, microarray analysis and quantitative PCR. In Part B, protein and cell-based methods are outlined, in subjects ranging from protein engineering to high throughput screening. Written by a well-established panel of research scientists, Molecular Biomethods Handbook, 2nd Edition provides an up to date collection of methods used regularly in the authors’ own research programs. This book will prove to be an invaluable reference for those engaged in or entering the field of molecular biology, and will provide the necessary background for those interested in setting up and using the latest molecular techniques.
The Analysis Of Gene Expression Data
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Author : Giovanni Parmigiani
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-04-11
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 2006-04-11 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.
Methods In Microarray Normalization
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Author : Phillip Stafford
language : en
Publisher: CRC Press
Release Date : 2008-01-31
Methods In Microarray Normalization written by Phillip Stafford and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-01-31 with Mathematics categories.
This organized text compiles, for the first time, the most useful normalization methods developed for interpreting microarray data. Experts examine the mathematical processes that are important in normalizing data and avoiding inherent systematic biases. They also review modern software, including discussions on key algorithms, comparative data, and download locations. The book contains the latest microarray innovations from companies such as Agilent, Affymetrix, and GeneGo as well as new, readily adaptable normalization methods for expression and CGH arrays. It also lists of open-source molecular profiling normalization algorithms available and where to access them.