Using Transformer protein embeddings with a linear attention mechanism to make SOTA de-novo predictions for the subcellular location of proteins 🔬
-
Updated
Sep 6, 2023 - Jupyter Notebook
#
protein-localization
Here are 6 public repositories matching this topic...
Deep Critical Learning. Implementation of ProSelfLC, IMAE, DM, etc.
deep-learning pytorch image-classification convolutional-neural-networks protein-design protein-function-prediction protein-localization protein-classification bert-transformer protein-transformer
-
Updated
Dec 23, 2022 - Python
Semi-supervised VAE model for protein localization prediction from microscopy images
keras protein vae microscopy variational-autoencoder semi-supervised protein-localization microscopy-image
-
Updated
May 31, 2020 - Python
An R package that visualizes Human Cell Atlas annotations on an SVG cell image.
-
Updated
May 5, 2022 - R
Code of project realized at the University of Geneva in the group of Karsten Kruse, in collaboration with the group of Charlotte Aumeier.
phase-field lattice-boltzmann comets wetting protein-localization microtubules liquid-liquid-phase-separation phase-separation eb3 microtubule-dynamics microtubule-regulation microtubule-plus-end
-
Updated
Mar 27, 2025 - Julia
Machine Learning project on the UCI Yeast dataset for protein subcellular localization. Provides a full, reproducible classification pipeline including data preprocessing, SMOTE balancing, model training, and evaluation using ROC and Precision/Recall metrics, with macro-F1 and MCC for fair performance comparison across algorithms.
machine-learning bioinformatics random-forest svm smote protein-localization imbalanced-classification
-
Updated
Aug 2, 2025 - Jupyter Notebook
Improve this page
Add a description, image, and links to the protein-localization topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the protein-localization topic, visit your repo's landing page and select "manage topics."