Skip to content

Latest commit

 

History

4 Commits

Folders and files

NameName
Last commit message
Last commit date
 
 
 
 
 
 
 
 
 
 

Repository files navigation

COMPASS

COMPASS (Comprehensive Multi-omics Polycomb Analysis Scoring System) is a context-aware framework for prioritising candidate Polycomb target genes by integrating PcG-perturbation RNA-seq and H3K27me3 ChIP-seq evidence.

COMPASS converts heterogeneous transcriptomic and epigenomic evidence into a continuous, interpretable Polycomb Target Score (PTS), enabling gene prioritisation across tissues, cell types and disease contexts.

Overview

Polycomb target identification is often based on either chromatin occupancy or perturbation-responsive expression. However, these assays capture complementary but incomplete aspects of Polycomb regulation.

COMPASS addresses this by:

  • scoring RNA-seq perturbation evidence and H3K27me3 ChIP-seq evidence independently;
  • integrating evidence within biological contexts;
  • applying biologically interpretable pattern weights;
  • retaining evidence provenance and incomplete-evidence information;
  • generating a continuous, context-specific Polycomb Target Score.

Key Features

  • Context-aware Polycomb target prioritisation
  • Integration of perturbation transcriptomics and H3K27me3 evidence
  • Interpretable scoring framework
  • Support for incomplete single-modality evidence
  • Evidence-traceable gene ranking
  • Robustness, ablation and benchmark analysis modules

Main Output

The main output is a gene-context level Polycomb Target Score (PTS).

A high PTS indicates strong available evidence for Polycomb-associated regulation in a defined context. It should be interpreted as prioritisation evidence, not proof of direct PcG binding or causal repression.

Repository Contents

COMPASS/
├── data/          # input metadata and processed evidence tables
├── scripts/       # COMPASS scoring and analysis scripts
├── results/       # output scores, benchmarks and figures
└── README.md

Citation

Wait to update

License

License information will be added before public release.

About

An interpretable framework for context-aware Polycomb target gene prioritization.

Resources

Stars

2 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages