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Simultaneous Model Selection and Model Calibration for the Proliferation of Tumor and Normal Cells During In Vitro Chemotherapy Experiments.

Costa, JosÉ M J; Orlande, Helcio R B; Lione, Viviane O F; Lima, Antonio G F; Cardoso, TaynÁ C S; Varón, Leonardo A B.

J Comput Biol ; 25(12): 1285-1300, 2018 12.

Artículo en Inglés | MEDLINE | ID: mdl-30251882

RESUMEN

In vitro experiments were conducted in this work to analyze the proliferation of tumor (DU-145) and normal (macrophage RAW 264.7) cells under the influence of a chemotherapeutic drug (doxorubicin). Approximate Bayesian Computation (ABC) was used to select among four competing models to represent the number of cells and to estimate the model parameters, based on the experimental data. For one case, the selected model was validated in a replicated experiment, through the solution of a state estimation problem with a particle filter algorithm, thus demonstrating the robustness of the ABC procedure used in this work.

Asunto(s)

Antineoplásicos/farmacología , Proliferación Celular/efectos de los fármacos , Doxorrubicina/farmacología , Modelos Teóricos , Neoplasias de la Próstata/patología , Animales , Línea Celular Tumoral , Resistencia a Antineoplásicos , Humanos , Masculino , Ratones , Células RAW 264.7

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