Machine learning in prediction of genetic risk of nonsyndromic oral clefts in the Brazilian population (2021)
- Authors:
- USP affiliated authors: NEVES, LUCIMARA TEIXEIRA DAS - FOB ; MACHADO, RENATO ASSIS - HRAC
- Unidades: FOB; HRAC
- DOI: 10.1007/s00784-020-03433-y
- Subjects: FISSURA LÁBIOPALATINA; POLIMORFISMO; APRENDIZADO COMPUTACIONAL; ACONSELHAMENTO GENÉTICO
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Clinical Oral Investigations
- ISSN: 1432-6981
- Volume/Número/Paginação/Ano: v. 25, n. 3, p. 1273-1280, Mar. 2021
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
MACHADO, Renato Assis et al. Machine learning in prediction of genetic risk of nonsyndromic oral clefts in the Brazilian population. Clinical Oral Investigations, v. 25, n. 3, p. 1273-1280, 2021Tradução . . Disponível em: https://doi.org/10.1007/s00784-020-03433-y. Acesso em: 21 maio 2024. -
APA
Machado, R. A., Silva, C. de O., Martelli Júnior, H., Neves, L. T. das, & Coletta, R. D. (2021). Machine learning in prediction of genetic risk of nonsyndromic oral clefts in the Brazilian population. Clinical Oral Investigations, 25( 3), 1273-1280. doi:10.1007/s00784-020-03433-y -
NLM
Machado RA, Silva C de O, Martelli Júnior H, Neves LT das, Coletta RD. Machine learning in prediction of genetic risk of nonsyndromic oral clefts in the Brazilian population [Internet]. Clinical Oral Investigations. 2021 ; 25( 3): 1273-1280.[citado 2024 maio 21 ] Available from: https://doi.org/10.1007/s00784-020-03433-y -
Vancouver
Machado RA, Silva C de O, Martelli Júnior H, Neves LT das, Coletta RD. Machine learning in prediction of genetic risk of nonsyndromic oral clefts in the Brazilian population [Internet]. Clinical Oral Investigations. 2021 ; 25( 3): 1273-1280.[citado 2024 maio 21 ] Available from: https://doi.org/10.1007/s00784-020-03433-y - Identification of novel variants in cleft palate-associated genes in Brazilian patients with non-syndromic cleft palate only
- The 100 most-cited papers in oral medicine and pathology
- Dental research and COVID-19: the beauty of science and its current and future challenges
- Adverse reactions to the injection of face and neck aesthetic filling materials: a systematic review
- Social media and telemedicine for oral diagnosis and counselling in the COVID-19 era [Carta]
- A novel de novo heterozygous ALPL nonsense mutation associated with adult hypophosphatasia
- Evaluation of the economic impact of COVID-19 on Brazilian private dental clinics: a cross-sectional study
- Brazilian multiethnic association study of genetic variant interactions among FOS, CASP8, MMP2 and CRISPLD2 in the risk of nonsyndromic cleft lip with or without cleft palate
- Self-assembly peptide P11-4 induces mineralization and cell-migration of odontoblast-like cells
- Revaluation of the treatment of head and neck cancer in Brazil during the COVID-19 pandemic: phase 2 [Letter to the editor]
Informações sobre o DOI: 10.1007/s00784-020-03433-y (Fonte: oaDOI API)
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
