Measuring the effect of inter-study variability on estimating prediction error

Keyphrases

• Lung 100%
• Molecular Signature 100%
• Between-study Variance 100%
• Prediction Error 100%
• RNA Sequencing (RNA-seq) 50%
• Disease Phenotype 50%
• Clinical Setting 50%
• Biomarker Discovery 50%
• Publicly Available 50%
• Performance Prediction 50%
• Gene Expression Data 50%
• Disease Signature 50%
• Method Validation 50%
• Microarray 50%
• Failure to Maintain 50%
• Hardwired 50%
• Significant Loss 50%
• Predicting Diseases 50%
• Laboratory Setting 50%
• Biological Variation 50%
• Performance-based 50%
• Technical Factors 50%
• Variability Sources 50%
• Effect on Performance 50%
• Batch Effects 50%
• Performance Estimate 50%
• Classification Consistency 50%
• Performance Anomaly 50%
• Data Collection Technology 50%
• Identically Distributed 50%

Computer Science

• Collected Data 100%
• Case Study 100%
• Clinical Setting 100%
• Validation Method 100%
• Predictive Performance 100%
• Gene Expression Data 100%
• Prediction Error 100%
• Technical Factor 100%
• Underlying Population 100%