Using Transformer protein embeddings with a linear attention mechanism to make SOTA de-novo predictions for the subcellular location of proteins 🔬
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Updated
Sep 6, 2023 - Jupyter Notebook
Using Transformer protein embeddings with a linear attention mechanism to make SOTA de-novo predictions for the subcellular location of proteins 🔬
Deep Critical Learning. Implementation of ProSelfLC, IMAE, DM, etc.
An R package that visualizes Human Cell Atlas annotations on an SVG cell image.
Semi-supervised VAE model for protein localization prediction from microscopy images
Code of project realized at the University of Geneva in the group of Karsten Kruse, in collaboration with the group of Charlotte Aumeier.
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