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

Abstract 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 synergistic drug combinations. However, the in vitro method is time-consuming and expensive. With the rapid growth of...

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Veröffentlicht in:	Briefings in bioinformatics Jg. 24; H. 1
Hauptverfasser:	Li, Tian-Hao, Wang, Chun-Chun, Zhang, Li, Chen, Xing
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	England Oxford University Press 19.01.2023 Oxford Publishing Limited (England)
Schlagworte:	Anticancer properties Antineoplastic Combined Chemotherapy Protocols - pharmacology Antineoplastic Combined Chemotherapy Protocols - therapeutic use Antineoplastic drugs Artificial neural networks Cancer Computational Biology - methods Computer applications Computer Simulation Correlation coefficient Correlation coefficients Drug Combinations Drug Synergism In vitro methods and tests Information processing Multilayer perceptrons Multilayers Predictions Software Toxicity Siamese network synergistic drug combination random matrix projection cell line drug
ISSN:	1467-5463, 1477-4054, 1477-4054
Online-Zugang:	Volltext
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