首页> 外文会议>Annual international conference on research in computational molecular biology >A Nested 2-Level Cross-Validation Ensemble Learning Pipeline Suggests a Negative Pressure Against Crosstalk snoRNA-mRNA Interactions in Saccharomyces Cerevisae;
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A Nested 2-Level Cross-Validation Ensemble Learning Pipeline Suggests a Negative Pressure Against Crosstalk snoRNA-mRNA Interactions in Saccharomyces Cerevisae;

机译:嵌套的两级交叉验证集合学习管道表明,酿酒酵母对串扰snoRNA-mRNA相互作用的负压;

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The growing number of RNA-mediated regulation mechanisms identified in the last decades suggests a widespread impact of RNA-RNA interactions. The efficiency of the regulation relies on highly specific and coordinated interactions, while simultaneously repressing the formation of opportunistic complexes. However, the analysis of RNA interactomes is highly challenging due to the large number of potential partners, discrepancy of the size of RNA families, and the inherent noise in interaction predictions. We designed a recursive 2-step cross-validation pipeline to capture the specificity of ncRNA-mRNA interactomes. Our method has been designed to detect significant loss or gain of specificity between ncRNA-mRNA interaction profiles. Applied to snoRNA-mRNA in Saccharomyces Cerevisae, our results suggest the existence of a repression of ncRNA affinities with mRNAs, and thus the existence of an evolutionary pressure inhibiting such interactions.
机译:在过去的几十年中,越来越多的RNA介导的调控机制表明RNA-RNA相互作用的广泛影响。监管的效率依赖于高度特定和协调的相互作用,同时抑制了机会主义情结的形成。但是,由于大量潜在的伴侣,RNA家族大小的差异以及相互作用预测中的固有噪声,RNA相互作用组的分析具有很高的挑战性。我们设计了一个递归的两步交叉验证流程,以捕获ncRNA-mRNA相互作用组的特异性。我们的方法旨在检测ncRNA-mRNA相互作用谱之间显着的特异性丧失或获得。将结果应用于酿酒酵母中的snoRNA-mRNA,我们的结果表明存在ncRNA与ncRNA亲和力的抑制作用,因此存在抑制这种相互作用的进化压力。

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