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

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

Abstract Background 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...

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Bibliographic Details
Main Authors: Gilad Ben Or, Isana Veksler-Lublinsky
Format: Article
Language:English
Published: BMC 2021-05-01
Series:BMC Bioinformatics
Subjects:
Machine learning
miRNA
Target prediction
CLASH
AGO-CLIP
Chimeric miRNA–target interactions
Online Access:https://doi.org/10.1186/s12859-021-04164-x

Internet

https://doi.org/10.1186/s12859-021-04164-x

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