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Molecular Diagnostics in Cancer Patients

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Cover of 'Molecular Diagnostics in Cancer Patients'

Table of Contents

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    Book Overview
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    Chapter 1 Recent Advances in Molecular Diagnostic Approaches for Cancer
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    Chapter 2 Molecular Diagnosis of Gall Bladder Cancer
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    Chapter 3 Molecular Diagnostics for Lung Cancer
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    Chapter 4 Predicting E3 Ubiquitin Ligases as Possible Promising Biomarkers for Brain Tumors
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    Chapter 5 Molecular Diagnostics in Melanoma: An Update
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    Chapter 6 Molecular Diagnostics in Breast Cancer
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    Chapter 7 Molecular Diagnostics in Non-Hodgkin Lymphoma
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    Chapter 8 Molecular Diagnosis of Cervical Cancer
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    Chapter 9 Molecular Diagnostics in Colorectal Cancer
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    Chapter 10 Molecular Diagnostics in Pancreatic Cancer
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    Chapter 11 Molecular Diagnostics in Head and Neck Squamous Cell Carcinoma
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    Chapter 12 Molecular Diagnostic in Prostate Cancer
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    Chapter 13 Molecular Diagnostics in Renal Cancer
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    Chapter 14 Molecular Biomarkers and Urinary Bladder Cancer (UBC)
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    Chapter 15 Molecular Pathway and Fluorescence In Situ Hybridization Testing of ERBB2 (HER2) Gene Amplification in Invasive Ductal Carcinoma of Breast
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    Chapter 16 Exploring Potential of RPPA Technique in Oral Cancer Biomarker Discovery Research
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    Chapter 17 Molecular Diagnostics in Liver Cancer
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    Chapter 18 Molecular Diagnosis of Uterine Cancer
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    Chapter 19 Molecular Diagnosis in Ovarian Carcinoma
Attention for Chapter 7: Molecular Diagnostics in Non-Hodgkin Lymphoma
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Citations

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Chapter title
Molecular Diagnostics in Non-Hodgkin Lymphoma
Chapter number 7
Book title
Molecular Diagnostics in Cancer Patients
Published by
Springer, Singapore, January 2019
DOI 10.1007/978-981-13-5877-7_7
Book ISBNs
978-9-81-135876-0, 978-9-81-135877-7
Authors

Suraj Pratap, Teresa A. Scordino

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 20%
Researcher 1 20%
Unknown 3 60%
Readers by discipline Count As %
Medicine and Dentistry 3 60%
Unknown 2 40%