OVESEG

OVESEG performs multiple-group comparison to detect tissue/cell-specific marker genes among subtypes.

Key Features:

• OVESEG-test statistics computation: Provides functions to compute OVESEG-test statistics for multiple-group comparison.
• Mixture null distribution modeling: Derives component weights in the mixture null distribution model.
• Permutation-based p-value estimation: Estimates p-values from weightedly aggregated permutations.
• Upregulation pattern profiling: Obtained posterior probabilities of component null hypotheses portrait all kinds of upregulation patterns among subtypes.

Scientific Applications:

• Tissue-specific marker detection: Identifies tissue-specific marker genes among multiple subtypes.
• Cell-specific marker detection: Identifies cell-specific marker genes among multiple subtypes.

Methodology:

OVESEG computes OVESEG-test statistics, derives component weights in the mixture null distribution model, and estimates p-values from weightedly aggregated permutations.