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## ⚗️ ReTiNA: A Benchmark Dataset for LC-MS Retention Time Modeling
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Current Version: **1.0.0**
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ReTiNA is a large open-source dataset for training machine learning models to predict small molecule retention times in LC-MS workflows.
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Available models trained on the ReTiNA dataset are available at this [Hugging Face Repository](https://huggingface.co/natelgrw/ReTiNA-Models).
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Source code for the ReTiNA model collection is available at this [Github Repository](https://github.com/natelgrw/retina_models).
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## ⚗️ ReTiNA: A Benchmark Dataset for LC-MS Retention Time Modeling
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| 9 |
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| 10 |
ReTiNA is a large open-source dataset for training machine learning models to predict small molecule retention times in LC-MS workflows.
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Current Version: **1.0.0**
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Available models trained on the ReTiNA dataset are available at this [Hugging Face Repository](https://huggingface.co/natelgrw/ReTiNA-Models).
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Source code for the ReTiNA model collection is available at this [Github Repository](https://github.com/natelgrw/retina_models).
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