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docs: add finetuned models to readme

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@@ -17,7 +17,17 @@ Differences between GENA-LM (`gena-lm-bert-base-t2t`) and DNABERT:
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  Source code and data: https://github.com/AIRI-Institute/GENA_LM
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- Paper: https://www.biorxiv.org/content/10.1101/2023.06.12.544594v1
 
 
 
 
 
 
 
 
 
 
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  ## Examples
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  Source code and data: https://github.com/AIRI-Institute/GENA_LM
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+ Paper: https://www.biorxiv.org/content/10.1101/2023.06.12.544594
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+ This repository also contains models that are finetuned on downstream tasks:
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+ - promoters predictions (branch [promoters_300_run_1](https://huggingface.co/AIRI-Institute/gena-lm-bert-base-t2t/tree/promoters_300_run_1))
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+ - splice sites prediction (branch [spliceai_run_1](https://huggingface.co/AIRI-Institute/gena-lm-bert-base-t2t/tree/spliceai_run_1))
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+ - epigenetic features and gene expression (trained on enformer dataset, branch [enformer](https://huggingface.co/AIRI-Institute/gena-lm-bert-base-t2t/tree/enformer))
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+ and models that are used in our [GENA-Web](https://dnalm.airi.net) web tool for genomic sequence annotation:
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+ - deepsea (gena_web_deepsea, branch [gena_web_deepsea](https://huggingface.co/AIRI-Institute/gena-lm-bert-base-t2t/tree/gena_web_deepsea))
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+ - deepstarr (gena_web_deepstarr, branch [gena_web_deepstarr](https://huggingface.co/AIRI-Institute/gena-lm-bert-base-t2t/tree/gena_web_deepstarr))
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  ## Examples
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