Sample interview questions: Have you ever encountered challenges in proteomics data normalization and batch effect correction for multi-site studies, and how did you address them?
Sample answer:
Challenges in Proteomics Data Normalization and Batch Effect Correction for Multi-Site Studies and Mitigation Strategies:
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Technical Variation Between Sites: Instrumentation, sample preparation protocols, and analyst proficiency can introduce systematic biases between sites.
Mitigation: Implement rigorous quality control measures, standardize protocols, and use reference samples to monitor technical performance. -
Sample Heterogeneity: Biological variability between individuals and populations can confound multi-site comparisons.
Mitigation: Collect metadata to account for potential confounding factors (e.g., age, sex, disease status) and consider using statistical methods to adjust for these variables. -
Batch Effects: Changes in reagents, equipment, or other laboratory factors across batches can introduce additional variation.
Mitigation: Incorporate batch information into statistical models to account for and correct batch effects. Methods include linear regression, ComBat, or surrogate variable analysis. -
Data Normalization: Different sample preparation an… Read full answer
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