DCSGMDA: A dual-channel convolutional model based on stacked deep learning collaborative gradient decomposition for predicting miRNA-disease associations-Reference-Cited by-同舟云学术

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DCSGMDA: A dual-channel convolutional model based on stacked deep learning collaborative gradient decomposition for predicting miRNA-disease associations

Published:2024-12 Issue: Volume:113 Page:108201
ISSN:1476-9271
Container-title:Computational Biology and Chemistry
language:en
Short-container-title:Computational Biology and Chemistry

Author:

Cao Xu,Lu Pengli

Publisher

Elsevier BV

Reference68 articles.

1. The functions of animal microRNAs;Ambros;Nature,2004

2. Types of machine learning algorithms;Ayodele;New Adv. Mach. Learn.,2010

3. Hepatocellular carcinoma: a review;Balogh;J. Hepatocell. Carcinoma,2016

4. Classification based on decision tree algorithm for machine learning;Charbuty;J. Appl. Sci. Technol. Trends,2021

5. ANMDA: anti-noise based computational model for predicting potential miRNA-disease associations;Chen;BMC Bioinform.,2021

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