GraphTar: applying word2vec and graph neural networks to miRNA target prediction

GraphTar: applying word2vec and graph neural networks to miRNA target prediction

Abstract Background MicroRNAs (miRNAs) are short, non-coding RNA molecules that regulate gene expression by binding to specific mRNAs, inhibiting their translation. They play a critical role in regulating various biological processes and are implicated in many diseases, including cardiovascular, onc...

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Bibliographic Details
Main Authors: Jan Przybyszewski, Maciej Malawski, Sabina Lichołai
Format: Article
Language:English
Published: BMC 2023-11-01
Series:BMC Bioinformatics
Subjects:
Word2vec
Graph neural networks
Target prediction
RNA interference
Graph classification
Online Access:https://doi.org/10.1186/s12859-023-05564-x

Internet

https://doi.org/10.1186/s12859-023-05564-x

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