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" Batch effects and noise in microarray experiments : "
edited by Andreas Scherer.
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BL
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| Record Number
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1028774
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| Doc. No
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b783144
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| Title & Author
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Batch effects and noise in microarray experiments : : sources and solutions /\ edited by Andreas Scherer.
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| Publication Statement
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Chichester, U.K. :: J. Wiley,, 2009.
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| Page. NO
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1 online resource (xx, 252 pages) :: illustrations (some color)
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| ISBN
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0470685980
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: 0470685999
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: 0470741384
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: 128237950X
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: 9780470685983
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: 9780470685990
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: 9780470741382
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: 9781282379503
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9780470741382
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| Bibliographies/Indexes
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Includes bibliographical references and index.
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| Contents
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Variation, variability, batches and bias in microarray experiments : an introduction / Andreas Scherer -- Microarray platforms and aspects of experimental variation / John A. Coller, Jr. -- Experimental design / Peter Grass -- Batches and blocks, sample pools and subsamples in the design and analysis of gene expression studies / Naomi Altman -- Aspects of technical bias / Martin Schumacher [and others] -- Bioinformatic strategies for cDNA-microarray data processing / Jessica Fahlén [and others] -- Batch effect estimation of microarray platforms with analysis of variance / Nysia I. George and James J. Chen -- Variance due to smooth bias in rat liver and kidney baseline gene expression in a large multi-laboratory data set / Michael J. Boedigheimer [and others] -- Microarray gene expression : the effects of varying certain measurement conditions / Walter Liggett [and others] -- Adjusting batch effects in microarray experiments with small sample size using empirical Bayes methods / W. Evan Johnson and Cheng Li -- Identical reference samples and empirical Bayes method for cross-batch gene expression analysis / Wynn L. Walker and Frank R. Sharp -- Principal variance components analysis : estimating batch effects in microarray gene expression data / Jianying Li [and others] -- Batch profile estimation, correction, and scoring / Tzu-Ming Chu [and others] -- Visualization of cross-platform microarray normalization / Xuxin Liu [and others] -- Toward integration of biological noise : aggregation effect in microarray data analysis / Lev Klebanov and Andreas Scherer -- Potential sources of spurious associations and batch effects in genome-wide association studies / Huixiao Hong [and others] -- Standard operating procedures in clinical gene expression biomarker panel development / Khurram Shahzad [and others] -- Data, analysis, and standardization / Gabriella Rustici, Andreas Scherer, and John Quackenbush.
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| Abstract
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Batch Effects and Noise in Microarray Experiments: Sources and Solutions looks at the issue of technical noise and batch effects in microarray studies and illustrates how to alleviate such factors whilst interpreting the relevant biological information. Each chapter focuses on sources of noise and batch effects before starting an experiment, with examples of statistical methods for detecting, measuring, and managing batch effects within and across datasets provided online. Throughout the book the importance of standardization and the value of standard operating procedures in the development of.
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DNA microarrays.
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Gene Expression Profiling.
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Oligonucleotide Array Sequence Analysis-- methods.
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Reproducibility of Results.
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DNA microarrays.
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SCIENCE-- Life Sciences-- Genetics Genomics.
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| Dewey Classification
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572.8/636
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| LC Classification
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QP624.5.D726B38 2009eb
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| NLM classification
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2009 L-943
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QU 450B328 2009
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| Added Entry
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Scherer, Andreas,1966-
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