Meta Marker Generator (MMG) for multimodal and cross-species single-cell data integration
Project description
MMG
MMG (Meta Marker Generator) is an interpretable linear framework for cross-modal and cross-species single-cell data integration.
📖 Overview
MMG learns concise, linearly weighted gene combinations called "meta-markers" through a denoising autoencoder with adversarial domain adaptation. Unlike black-box deep learning approaches, MMG produces interpretable gene weight vectors that capture essential cellular identity information while remaining robust to technical artifacts.
📦 Installation
pip install mmg-sc
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