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Multiplex Biomarker Techniques

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Cover of 'Multiplex Biomarker Techniques'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Multiplex Technologies in COVID-19 Research, Diagnostics, and Prognostics: Battling the Pandemic
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    Chapter 2 Multivalent Vaccine Strategies in Battling the Emergence of COVID-19 Variants.
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    Chapter 3 Challenges of Multiplex Assays for COVID-19 Research: A Machine Learning Perspective.
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    Chapter 4 Multiplex Quantitative Polymerase Chain Reaction Diagnostic Test for SARS-CoV-2 and Influenza A/B Viruses.
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    Chapter 5 Multiplex Quantitative Polymerase Chain Reaction Test to Identify SARS-CoV-2 Variants
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    Chapter 6 NIRVANA for Simultaneous Detection and Mutation Surveillance of SARS-CoV-2 and Co-infections of Multiple Respiratory Viruses.
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    Chapter 7 Quantitative Real-Time RT-PCR Systems to Detect SARS-CoV-2
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    Chapter 8 Guidance for SARS-CoV-2 RNA-Based Molecular Assay Analytical Performance Evaluations
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    Chapter 9 A Rapid User-Friendly Lab-on-a-Chip Microarray Platform for Detection of SARS-CoV-2 Variants.
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    Chapter 10 SARS-CoV-2 Host Immunogenetic Biomarkers
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    Chapter 11 FnCas9 Editor Linked Uniform Detection Assay for COVID-19
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    Chapter 12 Mass Spectrometry Multiplexed Detection of SARS-CoV-2.
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    Chapter 13 Identification of Circulating Biomarkers of COVID-19 Using MALDI-TOF Mass Spectrometry.
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    Chapter 14 Antibody-Based Affinity Capture Combined with LC-MS Analysis for Identification of COVID-19 Disease Serum Biomarkers.
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    Chapter 15 Liquid Chromatography-Mass Spectrometry Analysis of Peripheral Blood Mononuclear Cells from SARS-CoV-2 Infected Patients.
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    Chapter 16 Assay of Fatty Acids and Their Role in the Prevention and Treatment of COVID-19.
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    Chapter 17 Lab-on-a-Chip Immunoassay for Prediction of Severe COVID-19 Disease.
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    Chapter 18 Multiplex Immunoassay for Prediction of Disease Severity Associated with the Cytokine Storm in COVID-19 Cases.
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    Chapter 19 Detection of IgG Antibodies to SARS-CoV-2 and Neutralizing Capabilities Using the Luminex® xMAP® SARS-CoV-2 Multi-Antigen IgG Assay
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    Chapter 20 Multiplex Testing of the Effect of Statins on Disease Severity Risk in COVID-19 Cases
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    Chapter 21 Evaluating the Effects of Curcumin on the Cytokine Storm in COVID-19 Using a Chip-Based Multiplex Analysis
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    Chapter 22 COVID-19 Detection Using the NHS Lateral Flow Test Kit.
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    Chapter 23 Evaluation Protocol for SARS-CoV-2 Serological Assays
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    Chapter 24 Measurement of Mitochondrial Respiration in Cryopreserved Human Peripheral Blood Mononuclear Cells (PBMCs).
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    Chapter 25 Multiplex Testing of Oxidative-Reductive Pathway in Patients with COVID-19.
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    Chapter 26 Point-of-Care Device for Assessment of Blood Coagulation Status in COVID-19 Patients
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    Chapter 27 COVID-19 and the Assessment of Coenzyme Q10
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    Chapter 28 Isolation and Cell Culture of Human Nasopharyngeal Cells: A Model for Testing Immune Response and Antiviral Treatment
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    Chapter 29 Machine Learning Approaches to Analyze MALDI-TOF Mass Spectrometry Protein Profiles.
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    Chapter 30 A Deep Learning Approach to Identify Chest Computed Tomography Features for Prediction of SARS-CoV-2 Infection Outcomes.
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    Chapter 31 Genomic Surveillance for Monitoring Variants of Concern: SARS-CoV-2 Delta, Omicron, and Beyond.
Attention for Chapter 10: SARS-CoV-2 Host Immunogenetic Biomarkers
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Chapter title
SARS-CoV-2 Host Immunogenetic Biomarkers
Chapter number 10
Book title
Multiplex Biomarker Techniques
Published by
Humana, New York, NY, July 2022
DOI 10.1007/978-1-0716-2395-4_10
Pubmed ID
Book ISBNs
978-1-07-162394-7, 978-1-07-162395-4
Authors

Gededzha, Maemu P., Mampeule, Nakampe, Gandini, Anastasia, Mayne, Elizabeth S.

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 %
Researcher 1 33%
Lecturer 1 33%
Unknown 1 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 33%
Immunology and Microbiology 1 33%
Unknown 1 33%