Characterization of immune system cell subpopulations from single cell RNA sequencing in head and neck squamous cell carcinoma (2021)
- Authors:
- USP affiliated authors: SILVA JUNIOR, WILSON ARAÚJO DA - FMRP ; BIAGI JÚNIOR, CARLOS ALBERTO OLIVEIRA DE - FMRP
- Unidade: FMRP
- Subjects: CARCINOMA DE CÉLULAS ESCAMOSAS; BIOINFORMÁTICA; CÉLULAS MIELOIDES; SEQUENCIAMENTO GENÉTICO; RNA
- Keywords: Single-cell; Head and neck squamous cell carcinoma; Bioinformatics
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: Sociedade Brasileira de Genética - SBG
- Publisher place: [Ribeirão Preto]
- Date published: 2021
- Source:
- Título: Resumos
- Conference titles: Congresso Brasileiro de Genética = Brazilian Congress of Genetics
-
ABNT
BIAGI JUNIOR, Carlos Alberto Oliveira de et al. Characterization of immune system cell subpopulations from single cell RNA sequencing in head and neck squamous cell carcinoma. 2021, Anais.. [Ribeirão Preto]: Sociedade Brasileira de Genética - SBG, 2021. Disponível em: https://www.sbg.org.br/anais. Acesso em: 28 dez. 2025. -
APA
Biagi Junior, C. A. O. de, Teixeira, S. K., Pereira, F. L., Silva Junior, W. A. da, & Severino, P. (2021). Characterization of immune system cell subpopulations from single cell RNA sequencing in head and neck squamous cell carcinoma. In Resumos. [Ribeirão Preto]: Sociedade Brasileira de Genética - SBG. Recuperado de https://www.sbg.org.br/anais -
NLM
Biagi Junior CAO de, Teixeira SK, Pereira FL, Silva Junior WA da, Severino P. Characterization of immune system cell subpopulations from single cell RNA sequencing in head and neck squamous cell carcinoma [Internet]. Resumos. 2021 ;[citado 2025 dez. 28 ] Available from: https://www.sbg.org.br/anais -
Vancouver
Biagi Junior CAO de, Teixeira SK, Pereira FL, Silva Junior WA da, Severino P. Characterization of immune system cell subpopulations from single cell RNA sequencing in head and neck squamous cell carcinoma [Internet]. Resumos. 2021 ;[citado 2025 dez. 28 ] Available from: https://www.sbg.org.br/anais - GSVA score reveals molecular signatures from transcriptomes for biomaterials comparison
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