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E-mail Message: I thought you might be interested in this item at http://www.worldcat.org/oclc/49305644 Title: Microarrays for an integrative genomics Author: Isaac S Kohane; Alvin T Kho; Atul J Butte Publisher: Cambridge, Mass : MIT Press, ©2003. ISBN/ISSN: 026211271X 9780262112710 OCLC:49305644

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Microarrays for an integrative genomics

Author:	Isaac S Kohane; Alvin T Kho; Atul J Butte
Publisher:	Cambridge, Mass : MIT Press, ©2003.
Series:	Computational molecular biology.
Edition/Format:	Book : EnglishView all editions and formats
Rating:	(not yet rated) 0 with reviews - Be the first.

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Material Type:	Internet resource
Document Type:	Book, Internet Resource
All Authors / Contributors:	Isaac S Kohane; Alvin T Kho; Atul J Butte Find more information about:
ISBN:	026211271X 9780262112710
OCLC Number:	49305644
Notes:	"Bradford book."
Description:	xviii, 306 p. : ill. ; 24 cm.
Contents:	The Future Is So Bright ... -- Functional Genomics -- Informatics and advances in enabling technology -- Why do we need new techniques? -- Missing the Forest for the Dendrograms -- Sociology of a functional genomics pipeline -- Functional Genomics, Not Genetics -- In silico analysis will never substitute for in vitro and in vivo -- Basic Biology -- Biological caveats in mRNA measurements -- Sequence-level genomics -- Proteomics -- Experimental Design -- The Safe Conception of a Functional Genomic Experiment -- Experiment design space -- Expression space -- Exercising the expression space -- Discarding data and low-hanging fruit -- Gene-Clustering Dogma -- Supervised versus unsupervised learning -- Figure of merit: The elusive gold standard in functional genomics -- Microarray Measurements to Analyses -- Generic Features of Microarray Technologies -- Robotically spotted microarrays -- Oligonucleotide microarrays -- Replicate Experiments, Reproducibility, and Noise -- What is a replicate experiment? A reproducible experimental outcome? -- Reproducibility across repeated microarray experiments: Absolute expression level and fold difference -- Cross-platform (technology) reproducibility -- Pooling sample probes and PCR for replicate experiments -- What is noise? -- Sources and examples of noise in the generic microarray experiment -- Biological variation as noise: The Human Genome Project and irreproducibility of expression measurements -- Managing noise -- Prototypical Objectives and Questions -- Two examples: Inter-array and intra-array.
Series Title:	Computational molecular biology.
Responsibility:	Isaac S. Kohane, Alvin T. Kho, and Atul J. Butte.

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