🧬 TF-COMB Custom Version

This repository contains a customized version of the TF-COMB (Transcription Factor Co-Occurrence Mining and Benchmarking) package.

TF-COMB is a Python-based framework used to study co-occurrence of transcription factors (TFs) across genomic regions, such as ChIP-seq peaks or motif-based TF binding sites (TFBS). It applies market basket analysis to detect statistically significant TF–TF combinations.

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✨ What's New in This Custom Version

• Fixed ValueError: var_name=['TF2'] must be a scalar error in objects.py
• Improved compatibility with pandas >= 2.0
• Simplified market_basket() function for stable execution in Google Colab
• Added better readability and comments for beginners

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🧠 Key Features

• Detect co-occurring transcription factors in genomic regions
• Supports both motif-derived and ChIP-seq-based TFBS inputs
• Generates heatmaps, bubble plots, and rule-based TF co-occurrence tables
• Integrates well with downstream network visualization (e.g., Cytoscape)

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⚙️ Installation

You can install this version directly from GitHub:

!pip install https://github.com/Rakesh8050/tfcomb-custom.git