Table 5 Bacteria with high feature importance score in the classification model developed using the dataset from [18]
From: Using data science for medical decision making case: role of gut microbiome in multiple sclerosis
Level | Predictive functions with high feature importance score |
|---|---|
2nd hierarchical level | Signaling Molecules and Interaction, Amino Acid Metabolism, Excretory System, Lipid Metabolism, |
| Â | Genetic Information Processing, Nervous System, Energy Metabolism |
3rd hierarchical level | Carotenoid biosynthesis, Influenza A, Glycosyltransferases, Basal transcription factors, Biosynthesis of unsaturated fatty acids, |
| Â | Caprolactam degradation, Signal transduction mechanisms, Flavonoid biosynthesis, Caffeine metabolism, |
| Â | Chloroalkane and chloroalkene degradation, Non-homologous end-joining, Hepatitis C, |
| Â | Chagas disease (American trypanosomiasis), Butirosin and neomycin biosynthesis, Chlorocyclohexane and chlorobenzene |
| Â | degradation, Phenylalanine, tyrosine and tryptophan biosynthesis, Ubiquinone and other terpenoid-quinone biosynthesis, |
| Â | Vibrio cholerae infection, Nitrotoluene degradation, Steroid hormone biosynthesis, Aminoacyl-tRNA biosynthesis, Steroid |
| Â | biosynthesis, Bacterial toxins, Novobiocin biosynthesis, Phenylalanine metabolism, Pantothenate and CoA biosynthesis, |
|  | Meiosis – yeast, Cell cycle |