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Fig. 3 | BMC Bioinformatics

Fig. 3

From: Predicting bacterial resistance from whole-genome sequences using k-mers and stability selection

Fig. 3

Signatures annotation at the unitig level. In total, 22 unitigs falling in 10 genes were retained. Known target / antibiotics association are shown on the right hand side of the figure. Figures correspond to β coefficients in the unpenalized final logistic model and colors to their magnitude (in absolute value). A negative coefficient leads to a decreased risk of resistance, i.e., the presence of the corresponding unitig in the strain genome is associated with a decreased risk of antibiotic resistance, and conversely for a positive coefficient. A strain is predicted as resistant is the resulting score, taking into account the intercept of the model, is positive

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