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Microarray Methods for Drug Discovery

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Cover of 'Microarray Methods for Drug Discovery'

Table of Contents

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    Book Overview
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    Chapter 1 Multicenter Clinical Sample Collection for Microarray Analysis
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    Chapter 2 Isolation of Total RNA from Transgenic Mouse Melanoma Subsets Using Fluorescence-Activated Cell Sorting
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    Chapter 3 Microarray Analysis of Embryonic Stem Cells and Differentiated Embryoid Bodies
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    Chapter 4 Determination of alternate splicing events using the Affymetrix Exon 1.0 ST arrays.
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    Chapter 5 Profiling microRNA Expression with the Illumina BeadChip Platform
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    Chapter 6 TaqMan® Array Cards in Pharmaceutical Research
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    Chapter 7 DMET™ Microarray Technology for Pharmacogenomics-Based Personalized Medicine
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    Chapter 8 The Use of Microarray Technology for Cytogenetics
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    Chapter 9 PCR/LDR/Universal Array Platforms for the Diagnosis of Infectious Disease
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    Chapter 10 RIP-CHIP in Drug Development
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    Chapter 11 ChIPing Away at Global Transcriptional Regulation
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    Chapter 12 HELP (HpaII Tiny Fragment Enrichment by Ligation-Mediated PCR) Assay for DNA Methylation Profiling of Primary Normal and Malignant B Lymphocytes
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    Chapter 13 High-Throughput Screening of Metalloproteases Using Small Molecule Microarrays
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    Chapter 14 Metabolic enzyme microarray coupled with miniaturized cell-culture array technology for high-throughput toxicity screening.
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    Chapter 15 Use of Tissue Microarray to Facilitate Oncology Research
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    Chapter 16 Small Molecule Selectivity and Specificity Profiling Using Functional Protein Microarrays
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    Chapter 17 Production and Application of Glycan Microarrays
Attention for Chapter 5: Profiling microRNA Expression with the Illumina BeadChip Platform
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Chapter title
Profiling microRNA Expression with the Illumina BeadChip Platform
Chapter number 5
Book title
Microarray Methods for Drug Discovery
Published in
Methods in molecular biology, January 2010
DOI 10.1007/978-1-60761-663-4_5
Pubmed ID
Book ISBNs
978-1-60761-662-7, 978-1-60761-663-4
Authors

Julissa Tsao, Patrick Yau, Neil Winegarden, Tsao, Julissa, Yau, Patrick, Winegarden, Neil

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 50%
Professor 2 13%
Lecturer 1 6%
Student > Postgraduate 1 6%
Unknown 4 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 31%
Medicine and Dentistry 4 25%
Agricultural and Biological Sciences 2 13%
Neuroscience 1 6%
Unknown 4 25%