A Hybrid Model Integrating Multi-Omic and Topological Information of PPI Network for Drug Synergism Prediction-Reference-Cited by-同舟云学术

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A Hybrid Model Integrating Multi-Omic and Topological Information of PPI Network for Drug Synergism Prediction

Published:2023-12-23 Issue: Volume:23 Page:83-88
ISSN:
Container-title:2023 RIVF International Conference on Computing and Communication Technologies (RIVF)
language:
Short-container-title:

Author:

Nguyen Giang T.T.¹,Phuong Kien T.²,Nguyen-Trong Khanh³,Le Duc-Hau⁴

Affiliation:

1. Hanoi University of Science and Technology,Network Information Center,Hanoi,Vietnam

2. School of Information and Communication Technology, Hanoi University of Science and Technology,Hanoi,Vietnam

3. Institute of Technology,Faculty of Information Technology Telecommunications,Hanoi,Vietnam

4. Thuyloi University,Faculty of Computer Science and Engineering,Hanoi,Vietnam

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10471760/10471767/10471868.pdf?arnumber=10471868

Reference24 articles.

1. DrugComb: an integrative cancer drug combination data portal

2. Deep learning for drug response prediction in cancer

3. DTF: Deep Tensor Factorization for predicting anticancer drug synergy

4. The Different Mechanisms of Cancer Drug Resistance: A Brief Review

5. The challenge of drug resistance in cancer treatment: a current overview

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