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Microarray Technology and Cancer Gene Profiling

Overview of attention for book
Cover of 'Microarray Technology and Cancer Gene Profiling'

Table of Contents

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    Book Overview
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    Chapter 1 Manufacturing of Microarrays
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    Chapter 2 Technological Platforms for Microarray Gene Expression Profiling
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    Chapter 3 Principles of Gene Microarray Data Analysis
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    Chapter 4 Gaining Weights ... and Feeling Good about It!
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    Chapter 5 Complementary techniques: RNA amplification for gene profiling analysis.
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    Chapter 6 Complementary Techniques
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    Chapter 7 Complementary Techniques
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    Chapter 8 Microarrays for Cancer Diagnosis and Classification
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    Chapter 9 Gene Profiling for the Prediction of Tumor Response to Treatment
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    Chapter 10 Identification of Molecular Determinants of Tumor Sensitivity and Resistance to Anticancer Drugs
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    Chapter 11 SNP and Mutation Analysis
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    Chapter 12 Microarray Technology and Cancer Gene Profiling
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    Chapter 13 Gene Expression Profiling in Malignant Lymphomas
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    Chapter 14 Tumor Immunology
Attention for Chapter 14: Tumor Immunology
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Citations

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14 Dimensions

Readers on

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297 Mendeley
Summary Dimensions citations
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Chapter title
Tumor Immunology
Chapter number 14
Book title
Microarray Technology and Cancer Gene Profiling
Published by
Springer, New York, NY, January 2007
DOI 10.1007/978-0-387-39978-2_14
Pubmed ID
17265724
Book ISBNs
978-0-387-39977-5, 978-0-387-39978-2
Authors

Simone Mocellin, Mario Lise, Donato Nitti, Mocellin, Simone, Lise, Mario, Nitti, Donato

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 297 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 297 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 1%
Student > Master 2 <1%
Other 2 <1%
Librarian 1 <1%
Unknown 289 97%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 1%
Biochemistry, Genetics and Molecular Biology 3 1%
Immunology and Microbiology 1 <1%
Unknown 289 97%

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