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Volumn 115, Issue , 2013, Pages 84-93

Development and validation of a general approach to predict and quantify the synergism of anti-cancer drugs using experimental design and artificial neural networks

(8) Pivetta, Tiziana a Isaia, Francesco a Trudu, Federica a Pani, Alessandra a Manca, Matteo a Perra, Daniela a Amato, Filippo b Havel, Josef b

a UNIVERSITY OF CAGLIARI (Italy)

b MASARYK UNIVERSITY (Czech Republic)

Author keywords

Artificial neural networks; Cancer; Cisplatin; Copper complexes; Experimental design; Synergism

Indexed keywords

COPPER COMPOUNDS; CYTOTOXICITY; DESIGN OF EXPERIMENTS; DISEASES; FORECASTING; NEURAL NETWORKS; STATISTICS;

ADVANCED MODELING; CANCER; CIS-PLATIN; COPPER COMPLEXES; DRUG COMBINATIONS; LYMPHOBLASTIC LEUKEMIA; SYNERGISM; SYNERGISTIC EFFECT;

BINARY MIXTURES;

EID: 84877775168 PISSN: 00399140 EISSN: None Source Type: Journal
DOI: 10.1016/j.talanta.2013.04.031 Document Type: Article

Times cited : (32)

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