Source: Life Science Alliance. Unidades: FFCLRP, Interunidades em Bioinformática
Subjects: BIOMARCADORES, METILAÇÃO DE DNA, REGULAÇÃO NEOPLÁSICA DA EXPRESSÃO GÊNICA, GENÔMICA, APRENDIZADO COMPUTACIONAL, NEOPLASIAS
ABNT
VALIERIS, Renan et al. Regulators of homologous recombination deficiency identified by machine learning using somatic multi-omics data. Life Science Alliance, v. 9, n. 2, p. 1-12, 2026Tradução . . Disponível em: https://doi.org/10.26508/lsa.202503531. Acesso em: 30 abr. 2026.APA
Valieris, R., Rosa, L., Martins, L., Defelicibus, A., Carraro, D. M., Nunes, D. N., et al. (2026). Regulators of homologous recombination deficiency identified by machine learning using somatic multi-omics data. Life Science Alliance, 9( 2), 1-12. doi:10.26508/lsa.202503531NLM
Valieris R, Rosa L, Martins L, Defelicibus A, Carraro DM, Nunes DN, Dias-Neto E, Mitrowsky RAR, Silva IT da. Regulators of homologous recombination deficiency identified by machine learning using somatic multi-omics data [Internet]. Life Science Alliance. 2026 ; 9( 2): 1-12.[citado 2026 abr. 30 ] Available from: https://doi.org/10.26508/lsa.202503531Vancouver
Valieris R, Rosa L, Martins L, Defelicibus A, Carraro DM, Nunes DN, Dias-Neto E, Mitrowsky RAR, Silva IT da. Regulators of homologous recombination deficiency identified by machine learning using somatic multi-omics data [Internet]. Life Science Alliance. 2026 ; 9( 2): 1-12.[citado 2026 abr. 30 ] Available from: https://doi.org/10.26508/lsa.202503531
