Research Article
Plant MicroRNA Prediction by Supervised Machine Learning Using C5.0 Decision Trees
Table 4
Extended attribute set from combinations of base attributes.
| Attribute | Description of the attribute in relation to the control or candidate sequence |
| G + T:= G% + T% | Sum of G% and T% | G/T:= G%/T% | Ratio from G% to T% | G + C:= G% + C% | Sum of G% and C% | G/C:= G%/C% | Ratio from G% to C% | A + C:= A% + C% | Sum of A% and C% | A/C:= A%/C% | Ratio from A% to C% | T + A:= T% + A% | Sum of T% and A% | T/A:= T%/A% | Ratio from T% to A% | G%/ShannonEntropyNorm := G%/ShannonEntropyNorm | Ratio of G% over normalized Shannon entropy | C%/ShannonEntropyNorm := C%/ShannonEntropyNorm | Ratio of C% over normalized Shannon entropy | T%/ShannonEntropyNorm := T%/ShannonEntropyNorm | Ratio of T% over normalized Shannon entropy | A%/ShannonEntropyNorm := A%/ ShannonEntropyNorm | Ratio of A% over normalized Shannon entropy | NormEnergyRatio := DeltaGnorm/DuplexEnergyNorm | Ratio of the normalized DeltaG from the stem loop and normalized miRNAs:miRNAs* duplex energy | longestBracket/longestDot := longestBracketSet / longestDotSet | Ratio of longest match over the longest mismatch normalized counts |
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