v1.0.0

We developed a lightweight, interpretable machine-learning pipeline designed to predict protein subcellular localization from primary amino acid sequences and identify the key sequence motifs driving each classification. This won the ISCB Youth Bioinformatics Symposium 2025 Student Challenge.

Full Changelog: https://github.com/cytronicoder/explainable-localization-predictor/commits/v1.0.0