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Molecular Diagnostics for Dermatology

Overview of attention for book
Cover of 'Molecular Diagnostics for Dermatology'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Basics of Nucleic Acids and Molecular Biology
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    Chapter 3 Molecular Methods
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    Chapter 4 Melanoma. Part I. Risk Assessment, Diagnosis, and Prognosis: Using Molecular Tools to Diagnose Melanoma, Predict Its Behavior, and Evaluate for Inheritable Forms
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    Chapter 5 Melanoma. Part II. Personalized Medicine: Using Molecular Tools to Guide Targeted Therapy
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    Chapter 6 Leukemia and Lymphoma. Part I. Mycosis Fungoides and Sézary Syndrome: Using Molecular Tools to Aid in the Diagnosis, Staging, and Therapy for Mycosis Fungoides and Sézary Syndrome
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    Chapter 7 Leukemia and Lymphoma. Part II: Primary Cutaneous B-Cell Lymphoma and Other Non-MF/SS Hematopoietic Tumors
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    Chapter 8 Tumors of the Soft Tissue: Using Molecular Tools to Aid in the Diagnosis of Soft Tissue Tumors and the Management of the Sarcoma Patient
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    Chapter 9 Genodermatoses. Part I: Muir-Torre Syndrome
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    Chapter 10 Genodermatoses. Part II: Other Hereditary Dermatologic Disease
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    Chapter 11 Infectious Disease Testing
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    Chapter 12 Emerging Molecular Applications and Summary
Attention for Chapter 9: Genodermatoses. Part I: Muir-Torre Syndrome
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Citations

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Chapter title
Genodermatoses. Part I: Muir-Torre Syndrome
Chapter number 9
Book title
Molecular Diagnostics for Dermatology
Published by
Springer Berlin Heidelberg, January 2014
DOI 10.1007/978-3-642-54066-0_9
Book ISBNs
978-3-64-254065-3, 978-3-64-254066-0
Authors

Gregory A. Hosler M.D., Ph.D, Kathleen M. Murphy Ph.D, Gregory A. Hosler, Kathleen M. Murphy

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 33%
Student > Postgraduate 1 33%
Unknown 1 33%
Readers by discipline Count As %
Medicine and Dentistry 2 67%
Unknown 1 33%

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