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Fig. 1 | BMC Bioinformatics

Fig. 1

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

Fig. 1

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 p-value computed for each predictor variable using the Altmann’s approach [25] 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 http://www.broca.inserm.fr/MiRAMINT/index.php. 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

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