chip artifact CORRECTion (caCORRECT): a bioinformatics system for quality assurance of genomics and proteomics array...

Area of Science:

• Bioinformatics
• Systems Biology
• Translational Medicine

Background:

• High-throughput "-omics" data quality assurance is a major concern in biomedical discovery.
• Reproducibility of microarray gene expression data is frequently questioned, despite public databases.
• Systematic artifactual noises commonly affect microarray data integrity.

Purpose of the Study:

• To introduce caCORRECT, a web-based bioinformatics tool for microarray artifact detection, analysis, and correction.
• To enhance the quality and integrity of public microarray data archives.
• To improve the reproducibility of microarray studies and the true-positive rate of biomarker selection.

Main Methods:

• Development of a web-based bioinformatics tool named caCORRECT.
• Utilizing both archived and synthetic data for tool design and validation.
• Implementation of features for artifact uncovering, correction, quality scoring, and true-positive rate improvement.

Main Results:

• caCORRECT effectively detects and corrects systematic artifacts in microarray gene expression data.
• The tool provides a universal quality score for selecting suitable microarray data.
• Demonstrated improvement in the true-positive rate of biomarker selection using test data.

Conclusions:

• caCORRECT significantly improves the quality and reproducibility of microarray studies.
• The tool aids in removing artifacts from public data archives, enhancing data integrity.
• caCORRECT is a valuable resource for the bioinformatics and systems biology communities.