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  A robust language model pre-trained on over 18 million high-quality mRNA sequences, incorporating contrastive learning to integrate the semantic features of amino acids.
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- This is the official pre-trained model introduced in [A Universal Model Integrating Multimodal Data for Comprehensive mRNA Property Prediction](https://doi.org/10.1101/2022.08.06.5).
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  The repository of mRNABERT is at [yyly6/mRNABERT](https://github.com/yyly6/mRNABERT).
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  ```
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  ## Contact
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- If you have any question, please feel free to email us (22360244@zju.edu.cn).
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  A robust language model pre-trained on over 18 million high-quality mRNA sequences, incorporating contrastive learning to integrate the semantic features of amino acids.
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+ This is the official pre-trained model introduced in [A Universal Model Integrating Multimodal Data for Comprehensive mRNA Property Prediction]().
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  The repository of mRNABERT is at [yyly6/mRNABERT](https://github.com/yyly6/mRNABERT).
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  ```
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  ## Contact
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+ If you have any question, please feel free to email us (xiongying@zju.edu.cn).
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