SNRMPACDC: computational model focused on Siamese network and random matrix projection for anticancer synergistic drug combination prediction

TH Li, CC Wang, L Zhang, X Chen - Briefings in Bioinformatics, 2023 - academic.oup.com
Synergistic drug combinations can improve the therapeutic effect and reduce the drug
dosage to avoid toxicity. In previous years, an in vitro approach was utilized to screen …

SNRMPACDC: computational model focused on Siamese network and random matrix projection for anticancer synergistic drug combination prediction

TH Li, CC Wang, L Zhang… - Briefings in …, 2023 - pubmed.ncbi.nlm.nih.gov
Synergistic drug combinations can improve the therapeutic effect and reduce the drug
dosage to avoid toxicity. In previous years, an in vitro approach was utilized to screen …

SNRMPACDC: computational model focused on Siamese network and random matrix projection for anticancer synergistic drug combination prediction

TH Li, CC Wang, L Zhang, X Chen - Briefings in Bioinformatics, 2023 - academic.oup.com
Synergistic drug combinations can improve the therapeutic effect and reduce the drug
dosage to avoid toxicity. In previous years, an in vitro approach was utilized to screen …

SNRMPACDC: computational model focused on Siamese network and random matrix projection for anticancer synergistic drug combination prediction.

TH Li, CC Wang, L Zhang, X Chen - Briefings in Bioinformatics, 2022 - europepmc.org
Synergistic drug combinations can improve the therapeutic effect and reduce the drug
dosage to avoid toxicity. In previous years, an in vitro approach was utilized to screen …

SNRMPACDC: computational model focused on Siamese network and random matrix projection for anticancer synergistic drug combination prediction.

TH Li, CC Wang, L Zhang… - Briefings in …, 2023 - search.ebscohost.com
Synergistic drug combinations can improve the therapeutic effect and reduce the drug
dosage to avoid toxicity. In previous years, an in vitro approach was utilized to screen …