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---
license: mit
language:
- en
tags:
- biology
- single-cell
- scFM
- Drosophila
- foundation-model
- cell-type-annotation
---
<div align="start">
<img src="lemur-flaticon.png" alt="Lemur Icon" width="250">
<h1>Lemur: A Single-Cell Foundation Model for <em>Drosophila melanogaster</em> πͺ°π¬</h1>
</div>
**Lemur** is a single-cell foundation model developed specifically for *Drosophila melanogaster*. It achieves fine-tuning-free cell-type annotation using two key innovations:
- **Comprehensive Pre-training:** Trained on an integrated whole-organism atlas with a unified cell-type annotation schema.
- **Hierarchical Decoding:** Employs a transformer-based hierarchical cell-type decoder to generate consistent predictions at multiple levels of granularity.
### Highlights β‘οΈ
- **Fine-Tuning-Free Annotation:** No extra training required on new datasets.
- **Robust Across Conditions:** Consistent performance across various tissue types, experimental conditions, and sequencing platforms.
- **Zero-Shot Batch-Effect Correction:** Automatically corrects batch effects without further adjustments.
- **Broad Applications:** Tailored for the fly research community with potential implications for aging and neurodegenerative disease studies in humans.
### Status & Availability π
- **Model Weights:** Available now on the Hugging Face Hub ππ»ββοΈ.
- **Code:** Soon to be released. Stay tuned! π₯π
### Publication & Citation ππ
We're excited to share our manuscript, *Lemur: A Single-Cell Foundation Model with Fine-Tuning-Free Hierarchical Cell-Type Generation for* *Drosophila melanogaster*, which is now available as a preprint on [bioRxiv: 10.1101/123456](https://www.biorxiv.org/content/10.1101/123456)! πβ¨
If you find our work helpful, please consider citing our preprint as follows:
```bibtex
@article{your_citation_key,
title={Lemur: A Single-Cell Foundation Model with Fine-Tuning-Free Hierarchical Cell-Type Generation for *Drosophila melanogaster*},
author={Doe, John and Smith, Jane and Collaborators},
journal={bioRxiv},
year={2025},
doi={10.1101/123456}
}
``` |