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Updated Free Energy Parameters Increase MicroRNA Prediction Performance

机译:更新的自由能量参数增加MicroRNA预测性能

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Most de novo microRNA prediction tools rely on RNA structure prediction as a pre-screening step - only those sequences that exhibit miRNA-Iike hairpin structures are considered as putative miRNAs. However, little attention has been paid to the quality of this pre-screening step. This pre-screening may unduly limit the sensitivity of the miRNA prediction method. We here demonstrate that leveraging recent advances in RNA structure prediction results in significant increases in overall miRNA prediction recall and precision.
机译:大多数德诺微罗纳的预测工具依赖于RNA结构预测作为预筛分步骤 - 仅表现出miRNA-ike簪结构的那些序列被认为是推定的miRNA。但是,对该预筛分步骤的质量造成了很少的关注。该预筛选可能过度限制miRNA预测方法的敏感性。我们在这里证明利用RNA结构预测的最近进步导致整体miRNA预测召回和精确度的显着增加。

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