semvec/pypi-packages huggingface dataset:
minmlst 0.3.4
Machine-learning based minimal MLST scheme for bacterial strain typing

minMLST is a machine-learning based methodology for identifying a minimal subset of genes that preserves high discrimination among bacterial strains. It combines well known machine-learning algorithms and approaches such as XGBoost, distance-based hierarchical clustering, and SHAP. 
minMLST quantifies the importance level of each gene in an MLST scheme and allows the user to investigate the trade-off between minimizing the number of genes in the scheme vs preserving a high resolution among strains.

 See more information in [GitHub](https://github.com/shanicohen33/minMLST).