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A PyTorch implementation of Tree-structured Conditional Random Fields.

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A Fiji Groovy script to perform cardiac muscle movement analysis.

R package to read, register and compare point sets from single molecule localization microscopy.

Deployment configuration for the Bretzel App project.

The Bretzel app's front-end code.

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.