Artifact Removal

Motivation

• Genomic data are rife with technical artifacts and measurement errors

Approach

• Create statistical models data to detect specific patterns that can be attributed to known technical factors
• Normalize the data to minimize measurement noise while preserving signals of interest

Impact

• Enable the distinction between artificial and real signals
• Avoid being misled by the data artifacts
• Dedicate resources to productive downstream investigations