Enhanced Alzheimer’s Disease Prediction Through Integration of Protein-Protein Interaction Data and Meta-Learning

Association between proteins and diseases have been widely studied to understand disease triggers and identify potential therapeutic targets. Deciphering the complexity of gene networks is crucial for understanding diseases. Node embedding offers a powerful approach, revealing latent patterns that c...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Hansa J. Thattil, M. N. Arunkumar, Francis Antony
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Subjects:	Alzheimer’s disease ADASYN meta-learning Node2vec protein-protein interactions protein-disease associations
Online Access:	https://ieeexplore.ieee.org/document/10963671/