Myriads

Myriads implements p-value-based multiple testing correction methods for high-dimensional microarray and other omic datasets, including dependency assessment and p-value simulation to control false discoveries.

Key Features:

• Multiple Testing Correction Methods: Implements p-value-based correction techniques to control false discovery rates in multiple hypothesis testing scenarios.
• Dependence Test: Performs statistical tests for dependencies within data to inform selection of appropriate correction methods based on dependency structure.
• P-Value Simulation: Simulates p-value distributions to assess correction method performance under varying conditions.
• High-Dimensional Data Management: Processes and manages extensive lists of p-values, including datasets with hundreds of thousands of entries.

Scientific Applications:

• Genomics: Applicable to large-scale genomic datasets requiring multiple testing correction.
• Microarray analyses: Corrects p-values derived from microarray experiments.
• Transcriptomic studies: Applies to transcriptomics datasets that produce large sets of p-values.
• Proteomics and other omic technologies: Supports proteomics and other omic studies facing multiple testing challenges.

Methodology:

Uses p-value-based multiple testing correction methods combined with dependency testing and p-value simulation.