Predictive intelligence powered attentional stacking matrix factorization algorithm for the computational drug repositioning-Reference-Cited by-同舟云学术

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Predictive intelligence powered attentional stacking matrix factorization algorithm for the computational drug repositioning

Published:2021-10 Issue: Volume:110 Page:107633
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Yan Shaohong^ORCID,Yang Aimin,Kong Shanshan,Bai Bin,Li Xiaoyu

Publisher

Elsevier BV

Subject

Software

Reference32 articles.

1. Recent advances in drug repositioning for the discovery of new anticancer drugs;Shim;Int. J. Biol. Sci.,2014

2. Anthelmintics in the future: current trends in the discovery and development of new drugs against gastrointestinal nematodes;Zajíčková;Drug Discov. Today,2020

3. Human biomimetic liver microphysiology systems in drug development and precision medicine;Gough;Nat. Rev. Gastroenterol. Hepatol.,2021

4. Drug repurposing: progress challenges and recommendations;Pushpakom;Nat. Rev. Drug Discov.,2019

5. A review of computational drug repositioning: strategies, approaches, opportunities, challenges, and directions;Jarada;J. Cheminformat.,2020

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1. A weighted integration method based on graph representation learning for drug repositioning;Applied Soft Computing;2024-08

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3. A Graph Representation Approach Based on Light Gradient Boosting Machine for Predicting Drug–Disease Associations;Journal of Computational Biology;2023-08-01

4. The Computational Drug Repositioning Without Negative Sampling;IEEE/ACM Transactions on Computational Biology and Bioinformatics;2023-03-01

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