Python API¶
The functionality of bio_embeddings is split into 5 different modules
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Language models to translate amino acid sequences into vector representations |
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Methods for predicting properties of proteins, both on a per-residue and per-protein level, including supervised (pre-trained) and unsupervised (nearest neighbour search) methods |
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Visualize high dimensional data with t-SNE or UMAP projections or project Bert embeddings with Tucker |
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Various helpers |
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Display t-SNE or UMAP projections from the project stage |