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. Author manuscript; available in PMC: 2014 Apr 1.
Published in final edited form as: Hum Mutat. 2013 Feb 19;34(4):10.1002/humu.22268. doi: 10.1002/humu.22268

Figure 6. Final Pipeline.

Figure 6

The final analysis pipeline of AudioGene used to make predictions for unknown patients. (1) The training set is preprocessed by filling in missing values and adding coefficients of fitted second and third order curves. (2) A Multi-Instance SVM is trained on the preprocessed training set from step 1. (3) Unknown patients' audiograms are preprocessed in the same manner as described in Step 1. (4) Probabilities for each locus are generated by the trained SVM model. (5) Loci are finally ranked by their probabilities, with results being displayed on the website and emailed to the user.