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Artigo de periodico
CeTF: an R/Bioconductor package for transcription factor co-expression networks using regulatory impact factors (RIF) and partial correlation and information (PCIT) analysis (2021)
Biagi Junior, Carlos Alberto Oliveira de ; Nociti, Ricardo Perecin; Brotto, Danielle Barbosa; Funicheli, Breno Osvaldo; Ruy, Patrícia de Cássia; Ximenez, João Paulo Bianchi; Figueiredo, David Livingstone Alves; Silva Junior, Wilson Araújo da
Source: BMC Genomics. Unidades: FMRP, ICMC, FZEA, FCFRP
Subjects: BIOINFORMÁTICA, FATORES DE TRANSCRIÇÃO, EXPRESSÃO GÊNICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BIAGI JUNIOR, Carlos Alberto Oliveira de et al. CeTF: an R/Bioconductor package for transcription factor co-expression networks using regulatory impact factors (RIF) and partial correlation and information (PCIT) analysis. BMC Genomics, v. 22, n. 1, p. 1-8, 2021Tradução . . Disponível em: https://doi.org/10.1186/s12864-021-07918-2. Acesso em: 07 nov. 2024.
APA
Biagi Junior, C. A. O. de, Nociti, R. P., Brotto, D. B., Funicheli, B. O., Ruy, P. de C., Ximenez, J. P. B., et al. (2021). CeTF: an R/Bioconductor package for transcription factor co-expression networks using regulatory impact factors (RIF) and partial correlation and information (PCIT) analysis. BMC Genomics, 22( 1), 1-8. doi:10.1186/s12864-021-07918-2
NLM
Biagi Junior CAO de, Nociti RP, Brotto DB, Funicheli BO, Ruy P de C, Ximenez JPB, Figueiredo DLA, Silva Junior WA da. CeTF: an R/Bioconductor package for transcription factor co-expression networks using regulatory impact factors (RIF) and partial correlation and information (PCIT) analysis [Internet]. BMC Genomics. 2021 ; 22( 1): 1-8.[citado 2024 nov. 07 ] Available from: https://doi.org/10.1186/s12864-021-07918-2
Vancouver
Biagi Junior CAO de, Nociti RP, Brotto DB, Funicheli BO, Ruy P de C, Ximenez JPB, Figueiredo DLA, Silva Junior WA da. CeTF: an R/Bioconductor package for transcription factor co-expression networks using regulatory impact factors (RIF) and partial correlation and information (PCIT) analysis [Internet]. BMC Genomics. 2021 ; 22( 1): 1-8.[citado 2024 nov. 07 ] Available from: https://doi.org/10.1186/s12864-021-07918-2
Trabalho de evento-resumo periodico
Novel bioinformatics approaches for Rna analysis may reveal common promising molecular markers between three pediatric tumors (2021)
Silva, Andréa Martins da; Popolin Neto, Mário ; Paulovich, Fernando Vieira ; Salomão, Karina Bezerra; Silva, Keteryne Rodrigues da ; Veronez, Luciana Chain ; Silva Junior, Wilson Araújo da ; Valera, Elvis Terci; Scrideli, Carlos Alberto ; Tone, Luiz Gonzaga
Source: Pediatric Blood and Cancer. Conference titles: Congress of the International Society of Paediatric Oncology - SIOP. Unidades: ICMC, FMRP, FCFRP
Subjects: BIOINFORMÁTICA, APRENDIZADO COMPUTACIONAL, VISUALIZAÇÃO, BIOMARCADORES, NEOPLASIAS, MEDULOBLASTOMA, CRIANÇAS
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ABNT
SILVA, Andréa Martins da et al. Novel bioinformatics approaches for Rna analysis may reveal common promising molecular markers between three pediatric tumors. Pediatric Blood and Cancer. Hoboken: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. Disponível em: https://doi.org/10.1002/pbc.29349. Acesso em: 07 nov. 2024. , 2021
APA
Silva, A. M. da, Popolin Neto, M., Paulovich, F. V., Salomão, K. B., Silva, K. R. da, Veronez, L. C., et al. (2021). Novel bioinformatics approaches for Rna analysis may reveal common promising molecular markers between three pediatric tumors. Pediatric Blood and Cancer. Hoboken: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. doi:10.1002/pbc.29349
NLM
Silva AM da, Popolin Neto M, Paulovich FV, Salomão KB, Silva KR da, Veronez LC, Silva Junior WA da, Valera ET, Scrideli CA, Tone LG. Novel bioinformatics approaches for Rna analysis may reveal common promising molecular markers between three pediatric tumors [Internet]. Pediatric Blood and Cancer. 2021 ; No 2021( S5): S541-542.[citado 2024 nov. 07 ] Available from: https://doi.org/10.1002/pbc.29349
Vancouver
Silva AM da, Popolin Neto M, Paulovich FV, Salomão KB, Silva KR da, Veronez LC, Silva Junior WA da, Valera ET, Scrideli CA, Tone LG. Novel bioinformatics approaches for Rna analysis may reveal common promising molecular markers between three pediatric tumors [Internet]. Pediatric Blood and Cancer. 2021 ; No 2021( S5): S541-542.[citado 2024 nov. 07 ] Available from: https://doi.org/10.1002/pbc.29349
Artigo de periodico
Molecular design aided by random forests and synthesis of potent trypanocidal agents as cruzain inhibitors for Chagas disease treatment (2020)
Albuquerque, Sérgio de ; Cianni, Lorenzo ; Vita, Daniela de ; Lopes, Carla Duque ; Gomes, Ana S. M.; Gomes, Paula; Laughton, Charles; Leitão, Andrei ; Montanari, Carlos Alberto ; Montanari, Raphael ; Ribeiro, Jean Francisco Rosa ; Silva, João Santana da ; Teixeira, Cátia
Source: Chemical Biology & Drug Design. Unidades: FCFRP, IQSC, FMRP, EESC, ICMC
Subjects: DOENÇA DE CHAGAS, TRYPANOSOMA CRUZI
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ALBUQUERQUE, Sérgio de et al. Molecular design aided by random forests and synthesis of potent trypanocidal agents as cruzain inhibitors for Chagas disease treatment. Chemical Biology & Drug Design, v. 96, p. 948–960, 2020Tradução . . Disponível em: https://doi.org/10.1111/cbdd.13663. Acesso em: 07 nov. 2024.
APA
Albuquerque, S. de, Cianni, L., Vita, D. de, Lopes, C. D., Gomes, A. S. M., Gomes, P., et al. (2020). Molecular design aided by random forests and synthesis of potent trypanocidal agents as cruzain inhibitors for Chagas disease treatment. Chemical Biology & Drug Design, 96, 948–960. doi:10.1111/cbdd.13663
NLM
Albuquerque S de, Cianni L, Vita D de, Lopes CD, Gomes ASM, Gomes P, Laughton C, Leitão A, Montanari CA, Montanari R, Ribeiro JFR, Silva JS da, Teixeira C. Molecular design aided by random forests and synthesis of potent trypanocidal agents as cruzain inhibitors for Chagas disease treatment [Internet]. Chemical Biology & Drug Design. 2020 ; 96 948–960.[citado 2024 nov. 07 ] Available from: https://doi.org/10.1111/cbdd.13663
Vancouver
Albuquerque S de, Cianni L, Vita D de, Lopes CD, Gomes ASM, Gomes P, Laughton C, Leitão A, Montanari CA, Montanari R, Ribeiro JFR, Silva JS da, Teixeira C. Molecular design aided by random forests and synthesis of potent trypanocidal agents as cruzain inhibitors for Chagas disease treatment [Internet]. Chemical Biology & Drug Design. 2020 ; 96 948–960.[citado 2024 nov. 07 ] Available from: https://doi.org/10.1111/cbdd.13663

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