PepSetTest

PepSetTest infers differentially expressed proteins in LC-MS/MS proteomics data through a peptide-centric strategy that detects coordinated changes in peptide expression against the rest of the peptidome.

Key Features:

• Peptide-centric protein inference: Detects coordinated changes in the expression of peptides originating from the same protein and compares these changes against the rest of the peptidome.
• Improved statistical power: Demonstrates improved statistical power compared to traditional aggregation-based approaches.
• Type I error control: Controls the Type I error rate correctly in most cases.

Scientific Applications:

• Biomarker discovery: Identifies novel biomarkers when direct statistical analysis of protein data fails to provide substantial insights.
• Drug target prioritization: Prioritizes drug targets in LC-MS/MS proteomics studies.

Methodology:

PepSetTest employs a peptide set test that evaluates coordinated changes in peptide expression relative to the rest of the peptidome.