Instructions to use RNAcentral/genes-from-transcripts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use RNAcentral/genes-from-transcripts with Scikit-learn:
import joblib from skops.hub_utils import download download("RNAcentral/genes-from-transcripts", "path_to_folder") model = joblib.load( "model_fold_2.pkl" ) # only load pickle files from sources you trust # read more about it here https://skops.readthedocs.io/en/stable/persistence.html - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files
README.md
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# Intended uses & limitations
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This model is experimental, and is undergoing further testing.
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# Intended uses & limitations
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This model is experimental, and is undergoing further testing.
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# Five-fold cross validation
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We test the model on a random subset of the transcript pairs processed from all our coordinate data. These metrics represent the performance on the binary classification task of 'do these two transcripts come from the same gene'
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| balanced_acc | F1 | auc | ap |
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|----------------|----------|----------|----------|
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| 0.970089 | 0.989711 | 0.995063 | 0.998216 |
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| 0.968053 | 0.98935 | 0.994941 | 0.998181 |
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| 0.970278 | 0.989625 | 0.995177 | 0.998239 |
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| 0.968382 | 0.989364 | 0.994861 | 0.998184 |
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| 0.968858 | 0.989405 | 0.994907 | 0.997969 |
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