CTF-DDI: Constrained tensor factorization for drug–drug interactions prediction-Reference-Cited by-同舟云学术

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CTF-DDI: Constrained tensor factorization for drug–drug interactions prediction

Published:2024-12 Issue: Volume:161 Page:26-34
ISSN:0167-739X
Container-title:Future Generation Computer Systems
language:en
Short-container-title:Future Generation Computer Systems

Author:

Han Guosheng^ORCID,Peng Lingzhi,Ding Aocheng,Zhang Yan,Lin Xuan

Publisher

Elsevier BV

Reference37 articles.

1. Phar-LSTM: A pharmacological representation-based LSTM network for drug-drug interaction extraction;Huang;PeerJ,2023

2. MDF-SA-DDI: Predicting drug-drug interaction events based on multi-source drug fusion, multi-source feature fusion and transformer self-attention mechanism;Lin;Brief. Bioinform.,2022

3. Chikungunya arthritis treatment with methotrexate and dexamethasone: A randomized, double-blind, placebo-controlled trial;Amaral;Current Rheumatology Reviews.,2024

4. Robust multi-view non-negative matrix factorization with adaptive graph and diversity constraints;Li;Inform. Sci.,2023

5. Symmetry and graph bi-regularized non-negative matrix factorization for precise community detection;Liu;IEEE Trans. Automat. Sci. Eng.,2024

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