Gene Expression Studies Using Affymetrix Microarrays

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A01=Hinrich Gohlmann
A01=Willem Talloen
Abl Fusion Gene
Affymetrix GeneChip
Affymetrix Microarrays
Author_Hinrich Gohlmann
Author_Willem Talloen
batch
Batch Effect
BioConductor
bioinformatics workflow
biostatistical analysis
Category=PSAK
Category=PSAX
CEL File
data visualization techniques
Detection Call
Determined Gene Expression Profiles
differential
Differentially Expressed
DNA Methylation
DNA Sequence Information
effect
Entrez Gene
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_science
EST Sequence
exon
Exon Arrays
experiment
experimental design
FDR Method
Gene Expression Profiling
Gene Expression Studies Using Affymetrix Microarrays
Gene Microarrays
Glucocorticoid Receptor Binding
Hinrich Gohlmann
MA Plot
Microarray Data
Microarray Experiment
Mm Probe
molecular profiling
multidisciplinary gene expression studies
Non-genotoxic Compounds
normalization
pharmaceutical research
platform
plot
quantile
R
RNA Quality
SNP Microarrays
ST Array
volcano
Volcano Plot
Willem Talloen

Product details

  • ISBN 9781420065152
  • Weight: 712g
  • Dimensions: 156 x 234mm
  • Publication Date: 15 Jul 2009
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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The Affymetrix GeneChip® system is one of the most widely adapted microarray platforms. However, due to the overwhelming amount of information available, many Affymetrix users tend to stick to the default analysis settings and may end up drawing sub-optimal conclusions. Written by a molecular biologist and a biostatistician with a combined decade of experience in practical expression profiling experiments and data analyses, Gene Expression Studies Using Affymetrix Microarrays tears down the omnipresent language barriers among molecular biology, bioinformatics, and biostatistics by explaining the entire process of a gene expression study from conception to conclusion.

Truly Multidisciplinary: Merges Molecular Biology, Bioinformatics, and Biostatistics

This authoritative resource covers important technical and statistical pitfalls and problems, helping not only to explain concepts outside the domain of researchers, but to provide additional guidance in their field of expertise. The book also describes technical and statistical methods conceptually with illustrative, full-color examples, enabling those inexperienced with gene expression studies to grasp the basic principles.

Gene Expression Studies Using Affymetrix Microarrays provides novices with a detailed, yet focused introductory course and practical user guide. Specialized experts will also find it useful as a translation dictionary to understand other involved disciplines or to get a broader picture of microarray gene expression studies in general. Although focusing on Affymetrix gene expression, this globally relevant guide covers topics that are equally useful for other microarray platforms and other Affymetrix applications.

Hinrich Göhlmann and Willem Talloen work at Johnson & Johnson Pharmaceutical R&D as Principal Scientist and Senior Biostatistician, respectively.

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