Alignment-free bacterial identification and classification in metagenomics sequencing data using machine learning
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Updated
May 19, 2025 - Python
Alignment-free bacterial identification and classification in metagenomics sequencing data using machine learning
OptTaxPro: Optimized Taxonomic Profiling of microbiome using full-length 16S rRNA sequences
A machine learning pipeline to classify bacterial species (Staphylococcus, Pseudomonas) from Surface-Enhanced Raman Spectroscopy (SERS) data using Python, Scikit-learn, and a Random Forest model.
A resnet50 bacterial genus/strain classifier from the dibas dataset.
BacteriaCV - Dataset preparation pipeline for DIBaS bacterial microscopy images with species mapping, leakage-safe 70/20/10 splits, and five-fold training folds.
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