GraphSynergy: a network-inspired deep learning model for anticancer drug combination prediction

J Yang, Z Xu, WKK Wu, Q Chu… - Journal of the American …, 2021 - academic.oup.com
Objective To develop an end-to-end deep learning framework based on a protein–protein
interaction (PPI) network to make synergistic anticancer drug combination predictions …
被引用次数：46 相关文章

GraphSynergy: a network-inspired deep learning model for anticancer drug combination prediction

J Yang, Z Xu, WKK Wu, Q Chu… - Journal of the …, 2021 - pubmed.ncbi.nlm.nih.gov
Objective To develop an end-to-end deep learning framework based on a protein-protein
interaction (PPI) network to make synergistic anticancer drug combination predictions …

GraphSynergy: Network Inspired Deep Learning Model for Anti–Cancer Drug Combination Prediction

J Yang, Z Xu, W Wu, Q Chu, Q Zhang - 2021 - researchsquare.com
Compared with monotherapy, anti-cancer drug combination can provide effective therapy
with less toxicity in cancer treatment. Recent studies found that the topological positions of …
[PDF] archive.org

[PDF][PDF] GraphSynergy: Network Inspired Deep Learning Model for Anti–Cancer Drug Combination Prediction

J Yang, Z Xu, WKK Wu, Q Chu, Q Zhang - scholar.archive.org
Compared with monotherapy, anti-cancer drug combination can provide effective therapy
with less toxicity in cancer treatment. Recent studies found that the topological positions of …

GraphSynergy: a network-inspired deep learning model for anticancer drug combination prediction.

J Yang, Z Xu, WKK Wu, Q Chu… - Journal of the American …, 2021 - europepmc.org
Objective To develop an end-to-end deep learning framework based on a protein-protein
interaction (PPI) network to make synergistic anticancer drug combination predictions …

GraphSynergy: a network-inspired deep learning model for anticancer drug combination prediction

J Yang, Z Xu, WKK Wu, Q Chu… - Journal of the American …, 2021 - academic.oup.com
Objective To develop an end-to-end deep learning framework based on a protein–protein
interaction (PPI) network to make synergistic anticancer drug combination predictions …

GraphSynergy: a network-inspired deep learning model for anticancer drug combination prediction

J Yang, Z Xu, WKK Wu, Q Chu… - Journal of the American …, 2021 - scholars.cityu.edu.hk
OBJECTIVE: To develop an end-to-end deep learning framework based on a protein-protein
interaction (PPI) network to make synergistic anticancer drug combination predictions …
[HTML] nih.gov

[HTML][HTML] GraphSynergy: a network-inspired deep learning model for anticancer drug combination prediction

J Yang, Z Xu, WKK Wu, Q Chu… - Journal of the American …, 2021 - ncbi.nlm.nih.gov
Objective To develop an end-to-end deep learning framework based on a protein–protein
interaction (PPI) network to make synergistic anticancer drug combination predictions …
[PDF] researchgate.net

[PDF][PDF] GraphSynergy: a network-inspired deep learning model for anticancer drug combination prediction

J Yang, Z Xu, WKK Wu, Q Chu… - Journal of the American …, 2021 - researchgate.net
Objective: To develop an end-to-end deep learning framework based on a protein–protein
interaction (PPI) network to make synergistic anticancer drug combination predictions …

GraphSynergy: A network-inspired deep learning model for anticancer drug combination prediction

J Yang, Z Xu, WKK Wu, Q Chu, Q Zhang - Journal of the American …, 2021 - hub.hku.hk
Objective: To develop an end-to-end deep learning framework based on a protein-protein
interaction (PPI) network to make synergistic anticancer drug combination predictions …