Complementary feature learning across multiple heterogeneous networks and multimodal attribute learning for predicting disease-related miRNAs

Complementary feature learning across multiple heterogeneous networks and multimodal attribute learning for predicting disease-related miRNAs

Summary: Inferring the latent disease-related miRNAs is helpful for providing a deep insight into observing the disease pathogenesis. We propose a method, CMMDA, to encode and integrate the context relationship among multiple heterogeneous networks, the complementary information across these network...

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Bibliographic Details
Main Authors: Ping Xuan, Jinshan Xiu, Hui Cui, Xiaowen Zhang, Toshiya Nakaguchi, Tiangang Zhang
Format: Article
Language:English
Published: Elsevier 2024-02-01
Series:iScience
Subjects:
Bioinformatics
Health sciences
Health technology
Medicine
Online Access:http://www.sciencedirect.com/science/article/pii/S2589004223027165

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http://www.sciencedirect.com/science/article/pii/S2589004223027165

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