Cross-Validation Framework

• 10-fold cross-validation is used for selected 2054 samples.
• Samples are distributed in 10 batches and stratified by superpopulation (EAS, EUR, SAS, AFR, AMR) to ensure balanced representation:
  • 4 batches of 251 samples
  • 6 batches of 250 samples
• In each fold:
  • 90% of data serves as the reference panel.
  • 10% of data serves as the target set for imputation (using to prepare true VCFs and downsampled/psudo-array inputs).

Output

• Samples list of batch
• 2504 samples list
• Population meta