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Gene Expression Profiling

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Cover of 'Gene Expression Profiling'

Table of Contents

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    Book Overview
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    Chapter 1 Real-Time PCR and Multiplex Approaches
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    Chapter 2 Reverse-Transcriptase Polymerase Chain Reaction to Detect Extracellular mRNAs
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    Chapter 3 Microarray Analysis of mRNAs: Experimental Design and Data Analysis Fundamentals
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    Chapter 4 Software and Tools for Microarray Data Analysis
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    Chapter 5 Analysis of Gene Expression as Relevant to Cancer Cells and Circulating Tumour Cells
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    Chapter 6 Gene Expression Profiling in Formalin-Fixed, Paraffin-Embedded Tissues Using the Whole-Genome DASL Assay
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    Chapter 7 MicroRNA Expression Analysis: Techniques Suitable for Studies of Intercellular and Extracellular MicroRNAs.
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    Chapter 8 Western Blotting Analysis as a Tool to Study Receptor Tyrosine Kinases
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    Chapter 9 2D Gel Electrophoresis and Mass Spectrometry Identification and Analysis of Proteins
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    Chapter 10 Gene Expression Profiling
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    Chapter 11 Immunohistochemical and Immunofluorescence Procedures for Protein Analysis
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    Chapter 12 Advanced Microscopy: Laser Scanning Confocal Microscopy
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    Chapter 13 Isolation of Exosomes for Subsequent mRNA, MicroRNA, and Protein Profiling.
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    Chapter 14 Atomic Force Microscopy and High-Content Analysis: Two Innovative Technologies for Dissecting the Relationship Between Epithelial–Mesenchymal Transition-Related Morphological and Structural Alterations and Cell Mechanical Properties
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Title
Gene Expression Profiling
Published by
Humana Press, September 2011
DOI 10.1007/978-1-61779-289-2
ISBNs
978-1-61779-288-5, 978-1-61779-289-2
Editors

O'Driscoll, Lorraine

Twitter Demographics

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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 4 25%
Student > Ph. D. Student 4 25%
Student > Master 2 13%
Student > Doctoral Student 1 6%
Professor > Associate Professor 1 6%
Other 0 0%
Unknown 4 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 25%
Agricultural and Biological Sciences 3 19%
Computer Science 1 6%
Pharmacology, Toxicology and Pharmaceutical Science 1 6%
Immunology and Microbiology 1 6%
Other 2 13%
Unknown 4 25%