A semi-supervised machine learning framework for microRNA classification

A semi-supervised machine learning framework for microRNA classification

Abstract Background MicroRNAs (miRNAs) are a family of short, non-coding RNAs that have been linked to critical cellular activities, most notably regulation of gene expression. The identification of miRNA is a cross-disciplinary approach that requires both computational identification methods and we...

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Bibliographic Details
Main Authors: Mohsen Sheikh Hassani, James R. Green
Format: Article
Language:English
Published: BMC 2019-10-01
Series:Human Genomics
Subjects:
Machine learning
Semi-supervised learning
Active learning
Co-training
miRNA prediction
Next-generation sequencing
Online Access:http://link.springer.com/article/10.1186/s40246-019-0221-7

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http://link.springer.com/article/10.1186/s40246-019-0221-7

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