Evaluating Deep Learning models for predicting ALK-5 inhibition (2021)
Source: PLOS ONE. Unidade: EACH
Subjects: QUÍMICA MÉDICA, QUÍMICA FARMACÊUTICA, PLANEJAMENTO DE FÁRMACOS, NEOPLASIAS
ABNT
ESPINOZA, Gabriel Zarzana; ANGELO, Rafaela Molina de; OLIVEIRA, Patrícia Rufino; HONÓRIO, Káthia Maria. Evaluating Deep Learning models for predicting ALK-5 inhibition. PLOS ONE, San Francisco, v. 16, n. ja 2021, p. 01-16, 2021. Disponível em: < https://doi.org/10.1371/journal.pone.0246126 > DOI: 10.1371/journal.pone.0246126.APA
Espinoza, G. Z., Angelo, R. M. de, Oliveira, P. R., & Honório, K. M. (2021). Evaluating Deep Learning models for predicting ALK-5 inhibition. PLOS ONE, 16( ja 2021), 01-16. doi:10.1371/journal.pone.0246126NLM
Espinoza GZ, Angelo RM de, Oliveira PR, Honório KM. Evaluating Deep Learning models for predicting ALK-5 inhibition [Internet]. PLOS ONE. 2021 ; 16( ja 2021): 01-16.Available from: https://doi.org/10.1371/journal.pone.0246126Vancouver
Espinoza GZ, Angelo RM de, Oliveira PR, Honório KM. Evaluating Deep Learning models for predicting ALK-5 inhibition [Internet]. PLOS ONE. 2021 ; 16( ja 2021): 01-16.Available from: https://doi.org/10.1371/journal.pone.0246126