Source: Planta Medica. Unidade: FCFRP
Subjects: ANTI-INFLAMATÓRIOS, FARMACOLOGIA, BIOMARCADORES, COMPOSITAE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CHAGAS-PAULA, Daniela Aparecida et al. Prediction of anti-inflammatory plants and discovery of their biomarkers by machine learning algorithms and metabolomic studies. Planta Medica, v. 81, n. 6, p. 450-458, 2015Tradução . . Disponível em: https://doi.org/10.1055/s-0034-1396206. Acesso em: 22 jul. 2024.APA
Chagas-Paula, D. A., Oliveira, T. B., Zhang, T., Edrada-Ebel, R. A., & Costa, F. B. da. (2015). Prediction of anti-inflammatory plants and discovery of their biomarkers by machine learning algorithms and metabolomic studies. Planta Medica, 81( 6), 450-458. doi:10.1055/s-0034-1396206NLM
Chagas-Paula DA, Oliveira TB, Zhang T, Edrada-Ebel RA, Costa FB da. Prediction of anti-inflammatory plants and discovery of their biomarkers by machine learning algorithms and metabolomic studies [Internet]. Planta Medica. 2015 ; 81( 6): 450-458.[citado 2024 jul. 22 ] Available from: https://doi.org/10.1055/s-0034-1396206Vancouver
Chagas-Paula DA, Oliveira TB, Zhang T, Edrada-Ebel RA, Costa FB da. Prediction of anti-inflammatory plants and discovery of their biomarkers by machine learning algorithms and metabolomic studies [Internet]. Planta Medica. 2015 ; 81( 6): 450-458.[citado 2024 jul. 22 ] Available from: https://doi.org/10.1055/s-0034-1396206
