blacksheepr

blacksheepr performs outlier analysis for pairwise differential comparison to identify distinguishing characteristics between two groups in 2D table data containing two subpopulations.

Key Features:

• Pairwise outlier analysis: Identifies distinguishing characteristics through outlier detection in pairwise comparisons between two groups.
• Flexible data input: Accepts any data representable as a 2D table with two subpopulations for comparison.

Scientific Applications:

• Phosphoproteomics: Identifies differential phosphoprotein signatures distinguishing two biological groups through outlier analysis.
• Transcriptomics: Detects distinguishing transcriptomic features between two subpopulations via pairwise outlier comparison.

Methodology:

The sources do not explicitly detail computational steps or algorithms beyond pairwise outlier analysis for distinguishing characteristics between two groups in 2D table data.