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Add concise model card with paper links

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+ ---
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+ tags:
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+ - genomics
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+ - gene-expression-prediction
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+ - multimodal
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+ - biology
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+ - arxiv:2602.21550
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+ library_name: pytorch
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+ datasets:
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+ - xingyusu/GeneExp
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+ ---
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+
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+ # Prism
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+
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+ Prism provides pretrained checkpoints for gene expression prediction by integrating genomic sequence and multimodal signals.
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+
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+ This repository is the model release for:
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+
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+ **Extending Sequence Length is Not All You Need: Effective Integration of Multimodal Signals for Gene Expression Prediction** (ICLR 2026)
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+
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+ ## Paper
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+
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+ - [Hugging Face Paper Page](https://huggingface.co/papers/2602.21550)
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+ - [arXiv: 2602.21550](https://arxiv.org/abs/2602.21550)
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+
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+ ## Model Contents
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+
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+ - Pretrained checkpoints for `K562` and `GM12878`
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+ - Five random seeds for each cell type: `2`, `22`, `222`, `2222`, `22222`
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+
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+ ## Dataset
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+
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+ Prism follows the same dataset setting as Seq2Exp (`xingyusu/GeneExp`).
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+
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+ ## Quick Start
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+
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+ Download checkpoints:
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+
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+ ```bash
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+ pip install huggingface_hub
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+ python -c "from huggingface_hub import snapshot_download; snapshot_download(repo_id='yangyz1230/Prism', repo_type='model', local_dir='./ckpt')"
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+ ```
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+
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+ Run inference with the official code:
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+
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+ ```bash
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+ git clone https://github.com/yangzhao1230/Prism
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+ cd Prism
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+ pip install -r requirements.txt
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+ DATA_ROOT=/path/to/data
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+ bash test.sh $DATA_ROOT ./ckpt
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+ ```
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+
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+ ## Limitations
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+
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+ - Research use only
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+ - Performance may vary across preprocessing settings and seeds
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+ - Not intended for clinical or diagnostic use
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+
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+ ## Citation
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+
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+ ```bibtex
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+ @inproceedings{
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+ yang2026extending,
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+ title={Extending Sequence Length is Not All You Need: Effective Integration of Multimodal Signals for Gene Expression Prediction},
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+ author={Zhao Yang and Yi Duan and Jiwei Zhu and Ying Ba and Chuan Cao and Bing Su},
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+ booktitle={The Fourteenth International Conference on Learning Representations},
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+ year={2026}
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+ }
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+ ```
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+
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+ ## Links
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+
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+ - Code: https://github.com/yangzhao1230/Prism
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+ - Model: https://huggingface.co/yangyz1230/Prism