FlexStat

FlexStat extracts differentially expressed proteins (DEPs) from protein expression matrices through systematic combinatory analyses to support comparative system proteomics across multiple experimental conditions and disease types.

Key Features:

• Combinatory analysis capability: Accepts a protein expression matrix and systematically generates DEP results for every possible combination of experimental conditions or disease types present in the dataset.
• Data preprocessing and DEP extraction: Implements data preprocessing and DEP extraction using robust statistical tools.
• Visualization: Produces publication-ready visualizations of DEP results.
• Implementation: Built using established R scientific libraries.
• High-performance analytics: Performs rapid and simultaneous pairwise comparisons across comprehensive datasets and has been validated on diverse public proteomic datasets.

Scientific Applications:

• Mass spectrometry-based system proteomics: Comparative DEP analysis of mass spectrometry-derived protein expression matrices.
• Dysregulated protein hub identification: Identification of dysregulated protein hubs and associated disease-related features.
• Biomarker discovery: Prioritization of candidate protein biomarkers across multiple conditions.
• Therapeutic target identification: Support for selecting candidate therapeutic targets from DEP results.

Methodology:

Accepts a protein expression matrix; performs data preprocessing, automated DEP extraction, and publication-ready visualization using established R scientific libraries; systematically generates DEP results for every possible combination of experimental conditions or disease types and executes rapid pairwise comparisons.