Fonte: F1000 Research. Unidade: FMRP
Assuntos: BIOINFORMÁTICA, NEOPLASIAS, EPIGÊNESE GENÉTICA, GENÔMICA
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SILVA, Tiago C. et al. TCGA workflow: analyze cancer genomics and epigenomics data using bioconductor packages [version 2; referees: 1 approved, 2 approved with reservations]. F1000 Research, v. 5, 2016Tradução . . Disponível em: https://doi.org/10.12688/f1000research.8923.2. Acesso em: 14 out. 2025.APA
Silva, T. C., Colaprico, A., Olsen, C., D'Angelo, F., Bontempi, G., Ceccarelli, M., & Noushmehr, H. (2016). TCGA workflow: analyze cancer genomics and epigenomics data using bioconductor packages [version 2; referees: 1 approved, 2 approved with reservations]. F1000 Research, 5. doi:10.12688/f1000research.8923.2NLM
Silva TC, Colaprico A, Olsen C, D'Angelo F, Bontempi G, Ceccarelli M, Noushmehr H. TCGA workflow: analyze cancer genomics and epigenomics data using bioconductor packages [version 2; referees: 1 approved, 2 approved with reservations] [Internet]. F1000 Research. 2016 ; 5[citado 2025 out. 14 ] Available from: https://doi.org/10.12688/f1000research.8923.2Vancouver
Silva TC, Colaprico A, Olsen C, D'Angelo F, Bontempi G, Ceccarelli M, Noushmehr H. TCGA workflow: analyze cancer genomics and epigenomics data using bioconductor packages [version 2; referees: 1 approved, 2 approved with reservations] [Internet]. F1000 Research. 2016 ; 5[citado 2025 out. 14 ] Available from: https://doi.org/10.12688/f1000research.8923.2
