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Combining feature selection and shape analysis uncovers precise rules for miRNA regulation in Huntington’s disease mice

机译:将特征选择和形状分析相结合发现了亨廷顿病小鼠中调控miRNA的精确规则

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摘要

MiRAMINT analysis of miRNA regulation. This protocol integrates network-based analysis for reduction of data complexity followed by (i) random forest (RF) analysis for selecting explanatory variables, with a -value computed for each predictor variable using the Altmann’s approach [ ] and this RF analysis iterated (which involves different seeds in each iteration) until the number of hypotheses is stable across consecutive iterations (see also Materials and Methods), (ii) surface-matching analysis for high precision in matching the miRNA and mRNA expression profiles across conditions (herein as defined by 6 CAG repeat alleles and 3 age points), (iii) evidence for binding sites and (iv) data prioritization for selecting predicted miRNA-mRNA pairs of high interest. The number of possible miRNA-mRNA pairs retained at each step of the analysis (outcome) of multidimensional data from the brain of Hdh mice is indicated. The miRNA-mRNA pairs retained upon shape-matching analysis can be visualized at . The whole approach, data prioritization included, retained 5 miRNA-mRNA pairs of high interest in the striatum of Hdh mice and none in the cortex
机译:MiRAMINT分析miRNA调控。该协议集成了基于网络的分析以降低数据复杂性,然后(i)进行随机森林(RF)分析以选择解释变量,并使用Altmann方法[]为每个预测变量计算一个-值,并且对该RF分析进行迭代(直到每次迭代的假设数量稳定为止(另请参见材料和方法),(ii)表面匹配分析可在各种条件下高精度匹配miRNA和mRNA表达谱(本文定义为6个CAG重复等位基因和3个年龄点),(iii)结合位点的证据,以及(iv)选择优先选择的预测miRNA-mRNA对的数据优先次序。显示了在来自Hdh小鼠大脑的多维数据分析(结果)的每个步骤中保留的可能的miRNA-mRNA对的数量。形状匹配分析后保留的miRNA-mRNA对可在处查看。整个方法(包括数据优先级)包括在Hdh小鼠纹状体中保留5个高度感兴趣的miRNA-mRNA对,而在皮质中则没有

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