74 research outputs found

    Feature importance scores evaluated with the RF-based Gini importance algorithm.

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    <p><sup>a</sup>The rank of each feature is presented in the bracket.</p><p>Feature importance scores evaluated with the RF-based Gini importance algorithm.</p

    Sequence and structural features used in miRLocator.

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    <p>Sequence and structural features used in miRLocator.</p

    Effect of sample size on the prediction accuracy of miRLocator and miRdup.

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    <p>Effect of sample size on the prediction accuracy of miRLocator and miRdup.</p

    Experimentally validated miRNAs obtained from the miRBase database.

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    <p>(A) Statistical results of pre-miRNAs carrying experimentally validated miRNAs on their 5' and/or 3' arms. (B) Anatomy of the miRNA duplex in the pre-miRNA hairpin. "miRNA duplex (5p)" and "miRNA duplex (3p)" represent the 5' and 3' strands of the miRNA duplex, respectively. "Loop", "Helix" and "Bulge" are three common structural elements in the secondary structure of pre-miRNAs.</p

    AUC values of miRNA predictors constructed with different ML algorithms using different RPNSs.

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    <p>AUC values of miRNA predictors constructed with different ML algorithms using different RPNSs.</p

    Training (A) and testing (B) procedures for ML-based miRNA prediction.

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    <p>Training (A) and testing (B) procedures for ML-based miRNA prediction.</p

    Performance of ML-based miRNA predictors in classifying real and pseudo miRNA duplexes.

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    <p>(A)ROC curve displaying the performance of different ML-based miRNA predictors in the ten-fold cross-validation experiment.(B) Performance of ML-based miRNA predictors obtained with different numbers of features.(C) Distribution of the number of base pairs in the positive and negative sample sets.(D) Distribution of the average number of base pairs in a 4-nt sliding window in the positive and negative sample sets.(E) Frequency of bulges 1nt upstream of the miRNA end in the positive and negative sample sets.</p

    Cumulative frequency of correctly predicted start and end positions of miRNAs at different resolutions.

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    <p>Cumulative frequency of correctly predicted start and end positions of miRNAs at different resolutions.</p

    Supplemental Dataset 2

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    “Informative” Genes Obtained from PSOL-based ML Analysis for Gene Co-expression Network Construction under Six Studied Stresses in Two Tissue
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