Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Traditional Chinese medicine-based pattern differentiation system of deficiency and excess using traditional Chinese medicine-based inspection characteristics.

Science progress·2025

Same author

A Novel Flow Cytometry Array for High Throughput Detection of SARS-CoV-2 Antibodies.

Vaccines·2025

Same author

A Multi-stage Segmentation Method for Tongue Ecchymosis<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2023

Same author

Circulating messenger RNA variants as a potential biomarker for surveillance of hepatocellular carcinoma.

Frontiers in oncology·2022

Same author

A Case-Control Study of Follicular Fluid Cytokine Profiles in Women with Diminished Ovarian Reserve.

Reproductive sciences (Thousand Oaks, Calif.)·2021

Same author

Next-Generation Glycan Microarray Enabled by DNA-Coded Glycan Library and Next-Generation Sequencing Technology.

Analytical chemistry·2019

Search research articles

Related Experiment Video

Updated: Nov 28, 2025

Use of an Influenza Antigen Microarray to Measure the Breadth of Serum Antibodies Across Virus Subtypes

Use of an Influenza Antigen Microarray to Measure the Breadth of Serum Antibodies Across Virus Subtypes

Published on: July 26, 2019

Statistical Analysis Options for Antibody Array Data.

¹RayBiotech, Peachtree Corners, GA, USA. jingqiao.lu@raybiotech.com.

Methods in Molecular Biology (Clifton, N.J.)

|November 25, 2020

Summary

This chapter details using R, a statistical programming language, for analyzing antibody array data. It covers essential steps from data processing to advanced statistical modeling for biological insights.

Area of Science:

Bioinformatics
Computational Biology
Statistical Genetics

Background:

Antibody arrays are powerful tools for high-throughput proteomic analysis.
Analyzing complex antibody array datasets requires specialized statistical and computational methods.
The R programming language offers a versatile environment for sophisticated data analysis.

Purpose of the Study:

To provide a comprehensive guide on utilizing the R statistical programming language for antibody array data analysis.
To demonstrate the application of R in various stages of antibody array data processing and interpretation.
To facilitate reproducible and robust analysis of antibody array experiments.

Main Methods:

Introduction to the R statistical programming language and its relevant packages.

Keywords:

Antibody array Data analysis R

More Related Videos

Analysis of Histone Antibody Specificity with Peptide Microarrays

Analysis of Histone Antibody Specificity with Peptide Microarrays

Published on: August 1, 2017

Generation of Two-color Antigen Microarrays for the Simultaneous Detection of IgG and IgM Autoantibodies

Generation of Two-color Antigen Microarrays for the Simultaneous Detection of IgG and IgM Autoantibodies

Published on: September 15, 2016

Related Experiment Videos

Last Updated: Nov 28, 2025

Use of an Influenza Antigen Microarray to Measure the Breadth of Serum Antibodies Across Virus Subtypes

Use of an Influenza Antigen Microarray to Measure the Breadth of Serum Antibodies Across Virus Subtypes

Published on: July 26, 2019

Analysis of Histone Antibody Specificity with Peptide Microarrays

Analysis of Histone Antibody Specificity with Peptide Microarrays

Published on: August 1, 2017

Generation of Two-color Antigen Microarrays for the Simultaneous Detection of IgG and IgM Autoantibodies

Generation of Two-color Antigen Microarrays for the Simultaneous Detection of IgG and IgM Autoantibodies

Published on: September 15, 2016

Data preprocessing techniques including filtration and transformation.

Exploratory data analysis and visualization methods.

Differential expression analysis with and without variance correction.

Construction and analysis of co-expression networks.

Functional enrichment analysis for biological interpretation.

Application of statistical modeling for complex data patterns.

Main Results:

Demonstration of R's capability in handling diverse antibody array data types.
Effective implementation of data visualization for identifying trends and outliers.
Successful application of differential expression analysis to pinpoint significant protein changes.
Generation of co-expression networks to reveal biological pathway relationships.
Identification of key biological functions through enrichment analysis using R.

Conclusions:

R is a powerful and flexible tool for comprehensive antibody array data analysis.
The outlined methods enable robust identification of biological signals from complex proteomic data.
This guide empowers researchers to perform advanced statistical analyses on their antibody array experiments using R.