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DNA Microarrays

DNA Microarrays

Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...

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Updated: Jul 7, 2026

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

BAPCP: A comprehensive and user-friendly web tool for identifying biomarkers from protein microarray technologies.

Tzu-Hsien Yang¹, Guan-Da Syu², Chien-Sheng Chen³

¹Department of Biomedical Engineering, National Cheng Kung University, No. 1, University Road, 701 Tainan, Taiwan; Medical Device Innovation Center, National Cheng Kung University, No. 1, University Road, Tainan City 701, Taiwan.

Computer Methods and Programs in Biomedicine

|June 15, 2024

Summary

This summary is machine-generated.

A new web tool, BAPCP, simplifies biomarker discovery from protein chip data. It offers user-friendly analysis for protein interactions, accelerating research and drug discovery.

Keywords:

Protein biomarker identification Protein interaction identification Protein microarray

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Area of Science:

Biotechnology
Bioinformatics
Immunology

Background:

Proteome microarrays are high-throughput tools for studying protein interactions and identifying biomarkers.
Existing computational tools for protein chip analysis lack user-friendliness and offer limited analytical methods.
This restricts their application in diverse experimental designs for biologists.

Purpose of the Study:

To develop a user-friendly and comprehensive web tool for analyzing diverse protein chip data.
To facilitate biomarker examination and accelerate protein interaction studies.

Main Methods:

Developed BAPCP (Biomarker Analysis tool for Protein Chip Platforms), a web-based tool.
Integrated standard chip result files with 7 data normalization methods.
Included 7 quality control/differential analysis filters for biomarker extraction.

Main Results:

BAPCP handles diverse chip data distributions and cost-efficient chip designs.
Demonstrated acceleration of biomarker identification from weeks to 3 minutes using HCoV and E. coli proteome chip data.
Successfully applied to study immune response in Kawasaki disease.

Conclusions:

BAPCP provides robust analysis support for protein interaction studies.
The tool aligns with the growing need for computational tools in bioscience and medicine.
A web service is available for broader accessibility.