[HTML][HTML] TranSynergy: Mechanism-driven interpretable deep neural network for the synergistic prediction and pathway deconvolution of drug combinations

Q Liu, L Xie - PLoS computational biology, 2021 - journals.plos.org
Drug combinations have demonstrated great potential in cancer treatments. They alleviate
drug resistance and improve therapeutic efficacy. The fast-growing number of anti-cancer …

[引用][C] TranSynergy: Mechanism-driven interpretable deep neural network for the synergistic prediction and pathway deconvolution of drug combinations

Q Liu, L Xie - PLoS Computational Biology, 2021 - ui.adsabs.harvard.edu
TranSynergy: Mechanism-driven interpretable deep neural network for the synergistic prediction
and pathway deconvolution of drug combinations - NASA/ADS Now on home page ads icon …

TranSynergy: Mechanism-driven interpretable deep neural network for the synergistic prediction and pathway deconvolution of drug combinations.

Q Liu, L Xie - Plos Computational Biology, 2021 - europepmc.org
Drug combinations have demonstrated great potential in cancer treatments. They alleviate
drug resistance and improve therapeutic efficacy. The fast-growing number of anti-cancer …

TranSynergy: Mechanism-Driven Interpretable Deep Neural Network for the Synergistic Prediction and Pathway Deconvolution of Drug Combinations

Q Liu, L Xie - bioRxiv, 2020 - biorxiv.org
Motivation Drug combinations have demonstrated great potential in cancer treatments. They
alleviate drug resistance and improve therapeutic efficacy. With the fast-growing number of …

[PDF][PDF] TranSynergy: Mechanism-driven interpretable deep neural network for the synergistic prediction and pathway deconvolution of drug combinations

Q Liu, L Xie - PLoS Comput Biol, 2021 - scholar.archive.org
Drug combinations have demonstrated great potential in cancer treatments. They alleviate
drug resistance and improve therapeutic efficacy. The fast-growing number of anti-cancer …

TranSynergy: Mechanism-driven interpretable deep neural network for the synergistic prediction and pathway deconvolution of drug combinations

Q Liu, L Xie - PLoS Computational Biology, 2021 - search.proquest.com
In addition to cancer, synergistic drug combinations have several successful applications in
the treatment of other diseases, such as AIDS [9, 10], and fungal or bacterial infections [11 …

TranSynergy: Mechanism-driven interpretable deep neural network for the synergistic prediction and pathway deconvolution of drug combinations

Q Liu, L Xie - PLOS Computational Biology, 2021 - ideas.repec.org
Drug combinations have demonstrated great potential in cancer treatments. They alleviate
drug resistance and improve therapeutic efficacy. The fast-growing number of anti-cancer …

TranSynergy: Mechanism-driven interpretable deep neural network for the synergistic prediction and pathway deconvolution of drug combinations

Q Liu, L Xie - PLoS computational biology, 2021 - pubmed.ncbi.nlm.nih.gov
Drug combinations have demonstrated great potential in cancer treatments. They alleviate
drug resistance and improve therapeutic efficacy. The fast-growing number of anti-cancer …

TranSynergy: Mechanism-driven interpretable deep neural network for the synergistic prediction and pathway deconvolution of drug combinations

Q Liu, L Xie - PLOS Computational Biology, 2021 - econpapers.repec.org
Drug combinations have demonstrated great potential in cancer treatments. They alleviate
drug resistance and improve therapeutic efficacy. The fast-growing number of anti-cancer …

TranSynergy: Mechanism-driven interpretable deep neural network for the synergistic prediction and pathway deconvolution of drug combinations.

Q Liu, L Xie - 2021 - agris.fao.org
Drug combinations have demonstrated great potential in cancer treatments. They alleviate
drug resistance and improve therapeutic efficacy. The fast-growing number of anti-cancer …