Training Deep Learning AI to Predict microRNA-Gene Interactions

Non-coding microRNAs (miRNAs) have important regulatory functions but are also implicated in various diseases. Mr Seung-won Yoon, PhD candidate at Chungnam National University, Republic of Korea, is training deep learning AI models to predict miRNA-gene associations. His research has implications for understanding disease pathogenesis, particularly cancer, and repurposing drugs for untreatable diseases.

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Publication Details

Published
2025-01-01
DOI
https://doi.org/10.33548/scientia1185
Primary Topic
Cancer-related molecular mechanisms research
Type
article
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article

Training Deep Learning AI to Predict microRNA-Gene Interactions

Seungwon Yoon, Kyuchul Lee
Cancer-related molecular mechanisms research
article

Training Deep Learning AI to Predict microRNA-Gene Interactions

Seungwon Yoon, Kyuchul Lee
article en

Abstract

Non-coding microRNAs (miRNAs) have important regulatory functions but are also implicated in various diseases. Mr Seung-won Yoon, PhD candidate at Chungnam National University, Republic of Korea, is training deep learning AI models to predict miRNA-gene associations. His research has implications for understanding disease pathogenesis, particularly cancer, and repurposing drugs for untreatable diseases.

Openalex Percentile: Top 92%
Cancer-related molecular mechanisms research
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Training Deep Learning AI to Predict microRNA-Gene Interactions — Seungwon Yoon, Kyuchul Lee · (2025) | TGRS Research Map | TGRS