Add Essential Gene Classification from DNA Sequences #49
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Adds a baseline machine learning project to classify bacterial genes as essential or non-essential using DNA sequence data from the macwiatrak/bacbench-essential-genes-dna dataset.
Files Added:
main.py – Implements the Logistic Regression pipeline with 4-mer feature extraction.
requirements.txt – Lists all Python dependencies needed to run the project.
README.md – Project overview, dataset description, preprocessing steps, model evaluation, and usage instructions.
Notes:
Serves as a simple baseline for essential gene prediction.
First ML project attempt; AI was used only for debugging assistance.
Follow-up improvements could include handling class imbalance, overlapping k-mers, and more advanced models.