Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

MicroRNAs

MicroRNAs

MicroRNA (miRNA) are short, regulatory RNA transcribed from introns (non-coding regions of a gene) or intergenic regions (stretches of DNA present between genes). Several processing steps are required to form biologically active, mature miRNA. The initial transcript, called primary miRNA (pri-mRNA), base-pairs with itself, forming a stem-loop structure. Within the nucleus, an endonuclease enzyme, called Drosha, shortens the stem-loop structure into hairpin-shaped pre-miRNA. After the pre-miRNA...

MicroRNAs

MicroRNAs

MicroRNA (miRNA) are short, regulatory RNA transcribed from introns—non-coding regions of a gene—or intergenic regions—stretches of DNA present between genes. Several processing steps are required to form biologically active, mature miRNA. The initial transcript, called primary miRNA (pri-mRNA), base-pairs with itself forming a stem-loop structure. Within the nucleus, an endonuclease enzyme, called Drosha, shortens the stem-loop structure into hairpin-shaped pre-miRNA. After...

MicroRNAs

MicroRNAs

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

All-solid-state electrochromic devices based on ultra-thin Li<sub>3</sub>PO<sub>4</sub> electrolyte.

Chemical communications (Cambridge, England)·2026

Same author

A dual-interface load transfer model for precast concrete-cored cemented soil piles considering progressive damage.

PloS one·2026

Same author

Widely linear precoding with interference exploitation for improper signals in MU-MISO systems.

Scientific reports·2026

Same author

3D-printed target plates for high-throughput ambient mass spectrometry analysis of nanoliter biofluids.

Analytica chimica acta·2026

Same author

Molecular characterization and functional insights of secondary hair follicles across the cashmere growth cycle.

BMC genomics·2026

Same author

Vitiligo state assessment based on progressive transfer learning and multimodal domain adaptation.

Biomedical physics & engineering express·2026

Same journal

Thymidylate synthase inhibitory drugs induce p53-dependent pathways differently.

PloS one·2026

Same journal

Top-down and bottom-up attention for joint pattern classification and reconstruction.

PloS one·2026

Same journal

Short- and long-term scaling behavior of blood pressure and pulse arrival time during sleep in healthy controls and patients with obstructive sleep apnea.

PloS one·2026

Same journal

Double DQN-based secrecy energy efficiency and fairness performance in IRS-assisted NOMA systems with friendly jamming.

PloS one·2026

Same journal

10 recommendations for strengthening citizen science for improved societal and ecological outcomes: A co-produced analysis of challenges and opportunities in the 21st century.

PloS one·2026

Same journal

Paying in public: Peer effects, impression management, and willingness to pay on digital payment platforms.

PloS one·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Apr 8, 2026

Detection of miRNA Targets in High-throughput Using the 3'LIFE Assay

Detection of miRNA Targets in High-throughput Using the 3'LIFE Assay

Published on: May 25, 2015

Ensemble Methods for MiRNA Target Prediction from Expression Data.

Thuc Duy Le¹, Junpeng Zhang², Lin Liu¹

¹School of Information Technology and Mathematical Sciences, University of South Australia, Adelaide, South Australia, Australia.

|June 27, 2015

Summary

This summary is machine-generated.

Ensemble methods combining multiple miRNA target prediction approaches outperform individual methods. The best ensemble method, Pearson+IDA+Lasso, identifies more statistically significant and functionally enriched miRNA targets across datasets.

More Related Videos

Lung microRNA Profiling Across the Estrous Cycle in Ozone-exposed Mice

Lung microRNA Profiling Across the Estrous Cycle in Ozone-exposed Mice

Published on: January 7, 2019

Genome-wide Screen for miRNA Targets Using the MISSION Target ID Library

Genome-wide Screen for miRNA Targets Using the MISSION Target ID Library

Published on: April 6, 2012

Related Experiment Videos

Last Updated: Apr 8, 2026

Detection of miRNA Targets in High-throughput Using the 3'LIFE Assay

Detection of miRNA Targets in High-throughput Using the 3'LIFE Assay

Published on: May 25, 2015

Lung microRNA Profiling Across the Estrous Cycle in Ozone-exposed Mice

Lung microRNA Profiling Across the Estrous Cycle in Ozone-exposed Mice

Published on: January 7, 2019

Genome-wide Screen for miRNA Targets Using the MISSION Target ID Library

Genome-wide Screen for miRNA Targets Using the MISSION Target ID Library

Published on: April 6, 2012

Area of Science:

Bioinformatics
Computational Biology
Genomics

Background:

microRNAs (miRNAs) are key regulators in diseases like cancer.
Understanding miRNA function is crucial for disease mechanisms and drug development.
Computational methods for miRNA target prediction have limitations due to dataset-specific performance.

Purpose of the Study:

To evaluate the performance of ensemble methods for microRNA target prediction.
To compare ensemble methods against individual miRNA target prediction tools.
To identify the optimal ensemble strategy for robust miRNA target prediction.

Main Methods:

Applied eight popular miRNA target prediction methods to three cancer datasets.
Integrated results from individual methods using ensemble techniques.
Validated predictions against experimentally confirmed miRNA-target databases.

Main Results:

Ensemble methods demonstrated superior performance compared to individual methods across datasets.
The ensemble method "Pearson+IDA+Lasso" (correlation, causal inference, regression) showed the best performance.
Ensemble methods identified novel, statistically significant, and functionally enriched miRNA targets.

Conclusions:

Ensemble approaches enhance the accuracy and robustness of miRNA target prediction.
The "Pearson+IDA+Lasso" ensemble method offers a powerful tool for discovering biologically relevant miRNA-mRNA interactions.
The study provides valuable resources, including source codes and predictions, for further research.