Analyzing Microarray Gene Expression Data

Analyzing Microarray Gene Expression Data
Author: Geoffrey J. McLachlan
Publisher: John Wiley & Sons
Total Pages: 366
Release: 2005-02-18
Genre: Mathematics
ISBN: 0471726125

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

Statistical Analysis of Gene Expression Microarray Data

Statistical Analysis of Gene Expression Microarray Data
Author: Terry Speed
Publisher: CRC Press
Total Pages: 237
Release: 2003-03-26
Genre: Mathematics
ISBN: 0203011236

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 Data Analysis

Microarray Data Analysis
Author: Michael J. Korenberg
Publisher: Springer Science & Business Media
Total Pages: 569
Release: 2008-02-03
Genre: Science
ISBN: 1597453900

In this new volume, renowned authors contribute fascinating, cutting-edge insights into microarray data analysis. Information on an array of topics is included in this innovative book including in-depth insights into presentations of genomic signal processing. Also detailed is the use of tiling arrays for large genomes analysis. The protocols follow the successful Methods in Molecular BiologyTM series format, offering step-by-step instructions, an introduction outlining the principles behind the technique, lists of the necessary equipment and reagents, and tips on troubleshooting and avoiding pitfalls.

The Analysis of Gene Expression Data

The Analysis of Gene Expression Data
Author: Giovanni Parmigiani
Publisher: Springer Science & Business Media
Total Pages: 511
Release: 2006-04-11
Genre: Medical
ISBN: 0387216790

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.

Probabilistic Boolean Networks

Probabilistic Boolean Networks
Author: Ilya Shmulevich
Publisher: SIAM
Total Pages: 276
Release: 2010-01-21
Genre: Mathematics
ISBN: 0898716926

The first comprehensive treatment of probabilistic Boolean networks, unifying different strands of current research and addressing emerging issues.

Advanced Analysis of Gene Expression Microarray Data

Advanced Analysis of Gene Expression Microarray Data
Author: Aidong Zhang
Publisher: World Scientific
Total Pages: 358
Release: 2006
Genre: Science
ISBN: 9812566457

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.

Gene Network Inference

Gene Network Inference
Author: Alberto Fuente
Publisher: Springer Science & Business Media
Total Pages: 135
Release: 2014-01-03
Genre: Science
ISBN: 3642451616

This book presents recent methods for Systems Genetics (SG) data analysis, applying them to a suite of simulated SG benchmark datasets. Each of the chapter authors received the same datasets to evaluate the performance of their method to better understand which algorithms are most useful for obtaining reliable models from SG datasets. The knowledge gained from this benchmarking study will ultimately allow these algorithms to be used with confidence for SG studies e.g. of complex human diseases or food crop improvement. The book is primarily intended for researchers with a background in the life sciences, not for computer scientists or statisticians.

Design and Analysis of DNA Microarray Investigations

Design and Analysis of DNA Microarray Investigations
Author: Richard M. Simon
Publisher: Springer Science & Business Media
Total Pages: 205
Release: 2006-05-09
Genre: Medical
ISBN: 0387218661

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.

Bioinformatics and Computational Biology Solutions Using R and Bioconductor

Bioinformatics and Computational Biology Solutions Using R and Bioconductor
Author: Robert Gentleman
Publisher: Springer Science & Business Media
Total Pages: 478
Release: 2005-12-29
Genre: Computers
ISBN: 0387293620

Full four-color book. Some of the editors created the Bioconductor project and Robert Gentleman is one of the two originators of R. All methods are illustrated with publicly available data, and a major section of the book is devoted to fully worked case studies. Code underlying all of the computations that are shown is made available on a companion website, and readers can reproduce every number, figure, and table on their own computers.

Epigenetic Regulation in the Nervous System

Epigenetic Regulation in the Nervous System
Author: J. David Sweatt
Publisher: Academic Press
Total Pages: 374
Release: 2012-12-31
Genre: Science
ISBN: 0123944058

Epigenetic Regulation in the Nervous System addresses current understanding of the roles of epigenetic processes at the molecular/cellular level, their impact on neural development and behavior, and the potential roles of these mechanisms in neurological and psychiatric disorders. This award-winning volume spans molecular epigenetics, development, cellular physiology and biochemistry, synaptic and neural plasticity, and behavioral models, and is unique in covering epigenetically based disorders of the central nervous system.Behavioral epigenetics is the study of how environmental factors alter behavior, addressing the fundamental mechanisms that shape development and individual vulnerability/resilience to adverse behavioral outcomes. By understanding the molecular mechanisms involved in epigenetic modulation, researchers may be able to develop targeted therapies for those individuals in whom it malfunctions.Edited by the most highly regarded leaders in the field, this book offers a comprehensive review of behavioral epigenetics and a balanced treatment of the strengths and weaknesses in experimentation in this area. Covering background material as well as topics of current interest, it serves both as a cutting-edge resource and a foundational reference. The book will benefit neuroscience researchers and graduate students with an interest in the links between gene regulation and behavior, as will clinicians dealing with disorders such as addiction, depression, and schizophrenia. - BMA Medical Book Awards 2014 - Highly Commended, Neurology, British Medical Association - BMA Medical Book Awards 2014 - First Prize, Neurology, British Medical Association - 2013 PROSE Award winner for Best in Reference Works and Best Single Volume Reference in Science from the Association of American Publishers - Presents a unified view of epigenetic mechanisms from behavior to genes and everything in between - Discusses clinically relevant disorders in the context of epigenetics research, making the volume appealing to clinicians as well as basic scientists - Provides numerous practical examples for the new investigator to facilitate implementation of research in neuroepigenetics