Topic: Simulation Studies for Method Comparison

Worked Design Of A Clustering Benchmark

Varying Sample Size And Feature Dimensions

Simulating Cross-Omics Dependence

Simulating Sparse Multi-Omics Signals

Simulating Cohort And Batch Structure

Scoring Predictive Performance In Simulations

Selecting Plausible Parameter Ranges in Multi-Omics Integration

Reporting A Reproducible Method Comparison

Quantifying Uncertainty In Method Differences

Planning Benchmark Size For Reliable Conclusions