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Fig. 3 | BMC Bioinformatics

Fig. 3

From: Machine learning on alignment features for parent-of-origin classification of simulated hybrid RNA-seq

Fig. 3

Alignment Features Ranked by Importance. Top five alignment features, ranked by importance, used by the random forest model. The three columns here correspond to those in Fig. 2. The figure indicates that different models relied on different features. Labels like “P2 R1” refer to the alignment of read 1 to parent 2. Labels with “HQ” count only those events that involve a maximal base call quality score in the read. Labels with “diff” include the difference between parent 2 and 1 alignments. Labels with “MM” and “MAT” refer to mismatched or matched base counts, respectively. Labels with “INS” or “DEL” refer to bases inserted or deleted in the read, respectively. The label “PARENT” indicates a feature that was 1 if P2 had the better combined alignment score, or -1 if P1 had the better score, or 0 if they were tied

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