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[HTML][HTML] DualGCN: a dual graph convolutional network model to predict cancer drug response

T Ma, Q Liu, H Li, M Zhou, R Jiang, X Zhang - BMC bioinformatics - Springer
Background Drug resistance is a critical obstacle in cancer therapy. Discovering cancer drug
response is important to improve anti-cancer drug treatment and guide anti-cancer drug …
被引用次数：22 相关文章
[HTML] biomedcentral.com

[HTML][HTML] DualGCN: a dual graph convolutional network model to predict cancer drug response

T Ma, Q Liu, H Li, M Zhou… - BMC …, 2022 - bmcbioinformatics.biomedcentral …
Drug resistance is a critical obstacle in cancer therapy. Discovering cancer drug response is
important to improve anti-cancer drug treatment and guide anti-cancer drug design …
[HTML] nih.gov

[HTML][HTML] DualGCN: a dual graph convolutional network model to predict cancer drug response

T Ma, Q Liu, H Li, M Zhou, R Jiang, X Zhang - BMC Bioinformatics, 2022 - ncbi.nlm.nih.gov
Background Drug resistance is a critical obstacle in cancer therapy. Discovering cancer drug
response is important to improve anti-cancer drug treatment and guide anti-cancer drug …

DualGCN: a dual graph convolutional network model to predict cancer drug response

T Ma, Q Liu, H Li, M Zhou, R Jiang… - BMC …, 2022 - search.proquest.com
Background Drug resistance is a critical obstacle in cancer therapy. Discovering cancer drug
response is important to improve anti-cancer drug treatment and guide anti-cancer drug …

DualGCN: a dual graph convolutional network model to predict cancer drug response.

T Ma, Q Liu, H Li, M Zhou, R Jiang, X Zhang - BMC Bioinformatics, 2022 - europepmc.org
Background Drug resistance is a critical obstacle in cancer therapy. Discovering cancer drug
response is important to improve anti-cancer drug treatment and guide anti-cancer drug …

DualGCN: a dual graph convolutional network model to predict cancer drug response.

T Ma, Q Liu, H Li, M Zhou, R Jiang… - BMC …, 2022 - search.ebscohost.com
Background: Drug resistance is a critical obstacle in cancer therapy. Discovering cancer
drug response is important to improve anti-cancer drug treatment and guide anti-cancer …

DualGCN: a dual graph convolutional network model to predict cancer drug response

T Ma, Q Liu, H Li, M Zhou, R Jiang… - BMC …, 2022 - pubmed.ncbi.nlm.nih.gov
Background Drug resistance is a critical obstacle in cancer therapy. Discovering cancer drug
response is important to improve anti-cancer drug treatment and guide anti-cancer drug …

DualGCN: a dual graph convolutional network model to predict cancer drug response

T Ma, Q Liu, H Li, M Zhou, R Jiang, X Zhang - 2022 - agris.fao.org
Background Drug resistance is a critical obstacle in cancer therapy. Discovering cancer drug
response is important to improve anti-cancer drug treatment and guide anti-cancer drug …
[PDF] biomedcentral.com

[PDF][PDF] DualGCN: a dual graph convolutional network model to predict cancer drug response

T Ma, Q Liu, H Li, M Zhou, R Jiang, X Zhang - 2022 - bmcbioinformatics.biomedcentral …
Background Anti-cancer drugs have played important roles in cancer therapy in recent
years. However, the occurrence of drug resistance limits the effectiveness of anti-cancer …

DualGCN: a dual graph convolutional network model to predict cancer drug response.

T Ma, Q Liu, H Li, M Zhou, R Jiang, X Zhang - BMC Bioinformatics, 2022 - europepmc.org
Background Drug resistance is a critical obstacle in cancer therapy. Discovering cancer drug
response is important to improve anti-cancer drug treatment and guide anti-cancer drug …