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Fig. 1 | BMC Bioinformatics

Fig. 1

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

Fig. 1

Illustration of the stability selection process for ethambutol. Left: stability paths. Each curve corresponds to a k-mer and represents its selection frequency over all the resampled datasets, across the values of the regularization paramater. Darker red curves correspond to larger selection probabilities (from 0.6 to 0.8), while grey curves correspond to k-mers with probability of selection below 0.6. Middle : the regularization path obtained by fitting a L1 penalized logistic regression model across the entire dataset, with k-mers colored according to the color code defined from the left panel. Right : number of k-mers selected by the stability selection approach for thresholds ranging from 0.6 to 0.8

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