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Fig. 2 | Genome Medicine

Fig. 2

From: GenTB: A user-friendly genome-based predictor for tuberculosis resistance powered by machine learning

Fig. 2

GenTB online user interface. A The user is presented with the three main features offered by GenTB, i.e., to run predictions from user input data, to upload, share, and cite their data with the GenTB project, and to geographically map resistance frequencies or phenotype data. B Example of a resistance prediction output where boxes are colored in the function of the prediction model’s output probability. C Mutation plot that appears when clicked on one of the drugs heatmaps in B. Mutations will be shown when hovering the mouse over the genetic loci. INH = isoniazid, RIF = rifampicin, PZA = pyrazinamide, STR = streptomycin, EMB = ethambutol, ETH = ethionamide, KAN = kanamycin, CAP = capreomycin, AMK = amikacin, LEVO = levofloxacin, OFL = ofloxacin, PAS = Para-aminosalicylic acid

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