Explore projects

These Python scripts implement binary classification models to predict detectability of noncanonical ORF microprotein sequences using i) a TensorFlow-Keras Classifier and ii) a Multi-Layer Perceptron (MLP) classifier to predict detectability of noncanonical ORF microprotein sequences derived 'HLA-predicted binding peptide sequences' from scikit-learn. The scripts preprocess the datasets, train an artificial neural network (ANN), evaluate performance using multiple metrics, and extract feature importance based on model weights.

The Bretzel app's front-end code.

A lightweight platform-accelerated library for biological motif scanning using position weight matrices.

Rendered at: https://grp-bio-it.embl-community.io/template-pages-mkdocs

train the trainer Rendered at: https://grp-bio-it.embl-community.io/template-pages-mkdocs