MicroRNA–Gene Association Prediction Method using Deep Learning Models-Reference-Cited by-同舟云学术

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MicroRNA–Gene Association Prediction Method using Deep Learning Models

Published:2023-12-31 Issue:4 Volume:21 Page:294-299
ISSN:2234-8883
Container-title:Journal of information and communication convergence engineering
language:en
Short-container-title:JICCE

Author:

Yoon Seung-Won¹^ORCID,Hwang In-Woo¹,Lee Kyu-Chul¹^ORCID,

Affiliation:

1. Department of Computer Science, Chungnam National University, Daejeon 34134, Republic of Korea

Funder

Chungnam National University

Publisher

Korea Institute of Information and Communication Engineering

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Media Technology,Information Systems

Link

https://pdf.medrang.co.kr/JICCE/2023/021/jicce-21-4-294.pdf

Reference11 articles.

1. A deep ensemble model to predict miRNA-disease association

2. An Ensemble Approach Based on Multi-Source Information to Predict Drug-MiRNA Associations via Convolutional Neural Networks

3. Principles and Limitations of Computational MicroRNA Gene and Target Finding

4. Inferring MicroRNA Targets Based on Restricted Boltzmann Machines

5. DeepMirTar: a deep-learning approach for predicting human miRNA targets

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