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A Nested 2-Level Cross-Validation Ensemble Learning Pipeline Suggests a Negative Pressure Against Crosstalk snoRNA-mRNA Interactions in .

作者信息

Soulé Antoine, Steyaert Jean-Marc, Waldispühl Jérôme

机构信息

School of Computer Science, McGill University, Montreal, Canada.

LiX, École Polytechnique, Palaiseau, France.

出版信息

J Comput Biol. 2020 Mar;27(3):390-402. doi: 10.1089/cmb.2019.0464.

DOI:10.1089/cmb.2019.0464
PMID:32160035
Abstract

The growing number of RNA-mediated regulation mechanisms identified in the past 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 because of the large number of potential partners, discrepancy of the size of RNA families, and the inherent noise in interaction predictions. We designed a recursive two-step cross-validation pipeline to capture the specificity of noncoding RNA (ncRNA) messenger RNA (mRNA) interactomes. Our method has been designed to detect significant loss or gain of specificity between ncRNA-mRNA interaction profiles. Applied to small nucleolar RNA-mRNA in Saccharomyces cerevisiae, our results suggest the existence of a repression of ncRNA affinities with mRNAs and thus the existence of an evolutionary pressure leveling down such interactions.

摘要

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