Comprehensive machine-learning-based analysis of microRNA-target interactions reveals variable transferability of interaction rules across species

Abstract excerpt

<h4>Background</h4> MicroRNAs (miRNAs) are small non-coding RNAs that regulate gene expression post-transcriptionally via base-pairing with complementary sequences on messenger RNAs (mRNAs). Due to the technical challenges involved in the application of high-throughput experimental methods, datasets of direct bona-fide miRNA targets exist only for a few model organisms. Machine learning (ML) based target predicti...

Topics

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• 3' Untranslated Regions
• Binding Sites
• Evolution, Molecular
• Gene Expression Regulation
• Gene Regulatory Networks
• MicroRNAs
• Selection, Genetic
• Transcriptome

Identifiers and source

Literature Corpus work

639f88de-c630-586f-b9a5-ea354ca6b768

DOI

10.1101/2021.03.28.437385