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Artigo de periodico
Schistosoma mansoni vaccine candidates identified by unbiased phage display screening in self-cured rhesus macaques (2024)
Santos, Daisy Woellner; Tahira, Ana Carolina ; Malvezzi, João Vicente de Morais ; Mesel, Vinicius; Morales-Vicente, David Abraham; Trentini, Monalisa Martins; Marques Neto, Lázaro Moreira; Matos, Isaac de Araújo ; Kanno, Alex Issamu ; Pereira, Adriana da Silva Andrade ; Teixeira, André Azevedo Reis ; Giordano, Ricardo José ; Leite, Luciana Cezar de Cerqueira ; Pereira, Carlos Alberto de Bragança ; Marco, Ricardo De; Amaral, Murilo Sena ; Verjovski-Almeida, Sergio
Source: NPJ Vaccines. Unidades: IME, IFSC, IQ, BIOINFORMÁTICA
Subjects: IMUNIZAÇÃO, VACINAS, ESQUISTOSSOMOSE, MACACOS RHESUS, SCHISTOSOMA MANSONI
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ABNT
SANTOS, Daisy Woellner et al. Schistosoma mansoni vaccine candidates identified by unbiased phage display screening in self-cured rhesus macaques. NPJ Vaccines, v. 09, n. Ja 2024, p. 5-1-5-19, 2024Tradução . . Disponível em: https://doi.org/10.1038/s41541-023-00803-x. Acesso em: 19 jul. 2024.
APA
Santos, D. W., Tahira, A. C., Malvezzi, J. V. de M., Mesel, V., Morales-Vicente, D. A., Trentini, M. M., et al. (2024). Schistosoma mansoni vaccine candidates identified by unbiased phage display screening in self-cured rhesus macaques. NPJ Vaccines, 09( Ja 2024), 5-1-5-19. doi:10.1038/s41541-023-00803-x
NLM
Santos DW, Tahira AC, Malvezzi JV de M, Mesel V, Morales-Vicente DA, Trentini MM, Marques Neto LM, Matos I de A, Kanno AI, Pereira A da SA, Teixeira AAR, Giordano RJ, Leite LC de C, Pereira CA de B, Marco RD, Amaral MS, Verjovski-Almeida S. Schistosoma mansoni vaccine candidates identified by unbiased phage display screening in self-cured rhesus macaques [Internet]. NPJ Vaccines. 2024 ; 09( Ja 2024): 5-1-5-19.[citado 2024 jul. 19 ] Available from: https://doi.org/10.1038/s41541-023-00803-x
Vancouver
Santos DW, Tahira AC, Malvezzi JV de M, Mesel V, Morales-Vicente DA, Trentini MM, Marques Neto LM, Matos I de A, Kanno AI, Pereira A da SA, Teixeira AAR, Giordano RJ, Leite LC de C, Pereira CA de B, Marco RD, Amaral MS, Verjovski-Almeida S. Schistosoma mansoni vaccine candidates identified by unbiased phage display screening in self-cured rhesus macaques [Internet]. NPJ Vaccines. 2024 ; 09( Ja 2024): 5-1-5-19.[citado 2024 jul. 19 ] Available from: https://doi.org/10.1038/s41541-023-00803-x
Artigo de periodico
Density of identifying codes of hexagonal grids with finite number of rows (2024)
Sampaio, Rudini Menezes ; Sobral, Gabriel Augusto Gonçalves ; Wakabayashi, Yoshiko
Source: RAIRO - Operations Research. Unidades: IME, BIOINFORMÁTICA
Subjects: TEORIA DA INFORMAÇÃO, TEORIA DA COMUNICAÇÃO, TEORIA DOS GRAFOS, OTIMIZAÇÃO COMBINATÓRIA
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SAMPAIO, Rudini Menezes e SOBRAL, Gabriel Augusto Gonçalves e WAKABAYASHI, Yoshiko. Density of identifying codes of hexagonal grids with finite number of rows. RAIRO - Operations Research, v. 58, n. 2, p. 1633-1651, 2024Tradução . . Disponível em: https://doi.org/10.1051/ro/2024046. Acesso em: 19 jul. 2024.
APA
Sampaio, R. M., Sobral, G. A. G., & Wakabayashi, Y. (2024). Density of identifying codes of hexagonal grids with finite number of rows. RAIRO - Operations Research, 58( 2), 1633-1651. doi:10.1051/ro/2024046
NLM
Sampaio RM, Sobral GAG, Wakabayashi Y. Density of identifying codes of hexagonal grids with finite number of rows [Internet]. RAIRO - Operations Research. 2024 ; 58( 2): 1633-1651.[citado 2024 jul. 19 ] Available from: https://doi.org/10.1051/ro/2024046
Vancouver
Sampaio RM, Sobral GAG, Wakabayashi Y. Density of identifying codes of hexagonal grids with finite number of rows [Internet]. RAIRO - Operations Research. 2024 ; 58( 2): 1633-1651.[citado 2024 jul. 19 ] Available from: https://doi.org/10.1051/ro/2024046
Artigo de periodico
A dynamic Boolean network reveals that the BMI1 and MALAT1 axis is associated with drug resistance by limiting miR-145-5p in non-small cell lung cancer (2024)
Gupta, Shantanu ; Silveira, Daner Acunha ; Piedade, Gabriel Pinheiro Strini ; Ostrowski, Miguel P.; Mombach, Jose Carlos M. ; Hashimoto, Ronaldo Fumio
Source: Non-coding RNA Research. Unidades: IME, BIOINFORMÁTICA
Subjects: NEOPLASIAS PULMONARES, ÁLGEBRAS DE BOOLE, APOPTOSE
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ABNT
GUPTA, Shantanu et al. A dynamic Boolean network reveals that the BMI1 and MALAT1 axis is associated with drug resistance by limiting miR-145-5p in non-small cell lung cancer. Non-coding RNA Research, v. 9, n. 1, p. 185-193, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.ncrna.2023.10.008. Acesso em: 19 jul. 2024.
APA
Gupta, S., Silveira, D. A., Piedade, G. P. S., Ostrowski, M. P., Mombach, J. C. M., & Hashimoto, R. F. (2024). A dynamic Boolean network reveals that the BMI1 and MALAT1 axis is associated with drug resistance by limiting miR-145-5p in non-small cell lung cancer. Non-coding RNA Research, 9( 1), 185-193. doi:10.1016/j.ncrna.2023.10.008
NLM
Gupta S, Silveira DA, Piedade GPS, Ostrowski MP, Mombach JCM, Hashimoto RF. A dynamic Boolean network reveals that the BMI1 and MALAT1 axis is associated with drug resistance by limiting miR-145-5p in non-small cell lung cancer [Internet]. Non-coding RNA Research. 2024 ; 9( 1): 185-193.[citado 2024 jul. 19 ] Available from: https://doi.org/10.1016/j.ncrna.2023.10.008
Vancouver
Gupta S, Silveira DA, Piedade GPS, Ostrowski MP, Mombach JCM, Hashimoto RF. A dynamic Boolean network reveals that the BMI1 and MALAT1 axis is associated with drug resistance by limiting miR-145-5p in non-small cell lung cancer [Internet]. Non-coding RNA Research. 2024 ; 9( 1): 185-193.[citado 2024 jul. 19 ] Available from: https://doi.org/10.1016/j.ncrna.2023.10.008
Trabalho de evento
Spectrum-based statistical methods for directed graphs with applications in biological data (2023)
Villela, Victor Chavauty; Lira, Eduardo Silva; Fujita, André
Conference titles: Brazilian Symposium on Bioinformatics - BSB. Unidades: IME, BIOINFORMÁTICA
Subjects: BIOINFORMÁTICA, REDES COMPLEXAS
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ABNT
VILLELA, Victor Chavauty e LIRA, Eduardo Silva e FUJITA, André. Spectrum-based statistical methods for directed graphs with applications in biological data. 2023, Anais.. Cham: Springer, 2023. Disponível em: https://doi.org/10.1007/978-3-031-42715-2_5. Acesso em: 19 jul. 2024.
APA
Villela, V. C., Lira, E. S., & Fujita, A. (2023). Spectrum-based statistical methods for directed graphs with applications in biological data. In . Cham: Springer. doi:10.1007/978-3-031-42715-2_5
NLM
Villela VC, Lira ES, Fujita A. Spectrum-based statistical methods for directed graphs with applications in biological data [Internet]. 2023 ;[citado 2024 jul. 19 ] Available from: https://doi.org/10.1007/978-3-031-42715-2_5
Vancouver
Villela VC, Lira ES, Fujita A. Spectrum-based statistical methods for directed graphs with applications in biological data [Internet]. 2023 ;[citado 2024 jul. 19 ] Available from: https://doi.org/10.1007/978-3-031-42715-2_5
Artigo de periodico
Predicting survival in metastatic non‐small cell lung cancer patients with poor ECOG‐PS: a single‐arm prospective study (2023)
Cunha, Mateus Trinconi ; Borges, Ana Paula de Souza ; Carvalho, Vinicius Jardim ; Fujita, André ; Castro Junior, Gilberto de Castro
Source: Cancer Medicine. Unidades: IME, FM, BIOINFORMÁTICA
Subjects: APRENDIZADO COMPUTACIONAL, NEOPLASIAS
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ABNT
CUNHA, Mateus Trinconi et al. Predicting survival in metastatic non‐small cell lung cancer patients with poor ECOG‐PS: a single‐arm prospective study. Cancer Medicine, v. 12, n. 4, p. 5099-5109, 2023Tradução . . Disponível em: https://doi.org/10.1002/cam4.5254. Acesso em: 19 jul. 2024.
APA
Cunha, M. T., Borges, A. P. de S., Carvalho, V. J., Fujita, A., & Castro Junior, G. de C. (2023). Predicting survival in metastatic non‐small cell lung cancer patients with poor ECOG‐PS: a single‐arm prospective study. Cancer Medicine, 12( 4), 5099-5109. doi:10.1002/cam4.5254
NLM
Cunha MT, Borges AP de S, Carvalho VJ, Fujita A, Castro Junior G de C. Predicting survival in metastatic non‐small cell lung cancer patients with poor ECOG‐PS: a single‐arm prospective study [Internet]. Cancer Medicine. 2023 ; 12( 4): 5099-5109.[citado 2024 jul. 19 ] Available from: https://doi.org/10.1002/cam4.5254
Vancouver
Cunha MT, Borges AP de S, Carvalho VJ, Fujita A, Castro Junior G de C. Predicting survival in metastatic non‐small cell lung cancer patients with poor ECOG‐PS: a single‐arm prospective study [Internet]. Cancer Medicine. 2023 ; 12( 4): 5099-5109.[citado 2024 jul. 19 ] Available from: https://doi.org/10.1002/cam4.5254
Trabalho de evento
Exploring identifiability in hybrid models of cell signaling pathways (2023)
Sousa, Ronaldo Nogueira de ; Campos, Cristiano G. S ; Wang, Willian ; Hashimoto, Ronaldo Fumio ; Armelin, Hugo Aguirre ; Reis, Marcelo S.
Conference titles: Brazilian Symposium on Bioinformatics - BSB. Unidades: IME, IQ, BIOINFORMÁTICA
Subjects: PROBLEMAS INVERSOS, REDES NEURAIS, APRENDIZADO COMPUTACIONAL
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ABNT
SOUSA, Ronaldo Nogueira de et al. Exploring identifiability in hybrid models of cell signaling pathways. 2023, Anais.. Cham: Springer, 2023. Disponível em: https://doi.org/10.1007/978-3-031-42715-2_14. Acesso em: 19 jul. 2024.
APA
Sousa, R. N. de, Campos, C. G. S., Wang, W., Hashimoto, R. F., Armelin, H. A., & Reis, M. S. (2023). Exploring identifiability in hybrid models of cell signaling pathways. In . Cham: Springer. doi:10.1007/978-3-031-42715-2_14
NLM
Sousa RN de, Campos CGS, Wang W, Hashimoto RF, Armelin HA, Reis MS. Exploring identifiability in hybrid models of cell signaling pathways [Internet]. 2023 ;[citado 2024 jul. 19 ] Available from: https://doi.org/10.1007/978-3-031-42715-2_14
Vancouver
Sousa RN de, Campos CGS, Wang W, Hashimoto RF, Armelin HA, Reis MS. Exploring identifiability in hybrid models of cell signaling pathways [Internet]. 2023 ;[citado 2024 jul. 19 ] Available from: https://doi.org/10.1007/978-3-031-42715-2_14
Trabalho de evento-resumo
Caracterização de haplótipos na população brasileira Projeto ISA - Nutrição (2023)
Souza, Jozimara Teixeira de; Pereira, Jaqueline Lopes ; Fisberg, Regina Mara ; Soler, Júlia Maria Pavan
Source: Livro de Resumos. Conference titles: Reunião Anual da Região Brasileira da Sociedade Internacional de Biometria - RBras. Unidades: FSP, IME, BIOINFORMÁTICA
Subjects: GENÓTIPOS, HAPLOTIPOS, BIOESTATÍSTICA
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ABNT
SOUZA, Jozimara Teixeira de et al. Caracterização de haplótipos na população brasileira Projeto ISA - Nutrição. 2023, Anais.. Londrina: Universidade Estadual de Londrina, 2023. Disponível em: https://lookerstudio.google.com/reporting/f9228c96-529e-44e6-8f85-373fc3e2539a/page/BYq4C. Acesso em: 19 jul. 2024.
APA
Souza, J. T. de, Pereira, J. L., Fisberg, R. M., & Soler, J. M. P. (2023). Caracterização de haplótipos na população brasileira Projeto ISA - Nutrição. In Livro de Resumos. Londrina: Universidade Estadual de Londrina. Recuperado de https://lookerstudio.google.com/reporting/f9228c96-529e-44e6-8f85-373fc3e2539a/page/BYq4C
NLM
Souza JT de, Pereira JL, Fisberg RM, Soler JMP. Caracterização de haplótipos na população brasileira Projeto ISA - Nutrição [Internet]. Livro de Resumos. 2023 ;[citado 2024 jul. 19 ] Available from: https://lookerstudio.google.com/reporting/f9228c96-529e-44e6-8f85-373fc3e2539a/page/BYq4C
Vancouver
Souza JT de, Pereira JL, Fisberg RM, Soler JMP. Caracterização de haplótipos na população brasileira Projeto ISA - Nutrição [Internet]. Livro de Resumos. 2023 ;[citado 2024 jul. 19 ] Available from: https://lookerstudio.google.com/reporting/f9228c96-529e-44e6-8f85-373fc3e2539a/page/BYq4C
Artigo de periodico
Annotation and functional characterization of long noncoding RNAs deregulated in pancreatic adenocarcinoma (2022)
Paixão, Vinicius Ferreira da ; Sosa, Omar Júlio ; Pellegrina, Diogo Vieira da Silva; Dazzani, Bianca; Corrêa, Thalita Bueno; Bertoldi, Ester Risério Matos; Moraes, Luís Bruno da Cruz e Alves de; Pessoa, Diogo de Oliveira ; Oliveira, Victoria de Paiva; Zevallos, Ricardo Alberto Chiong; Russo, Lilian Cristina ; Forti, Fabio Luis ; Ferreira, João Eduardo ; Freitas, Helano Carioca; Jukemura, José ; Machado, Marcel Cerqueira Cesar ; Begnami, María Dirlei; Setubal, João Carlos ; Bassères, Daniela Sanchez ; Reis, Eduardo Moraes
Source: Cellular Oncology. Unidades: IQ, IME, FM, BIOINFORMÁTICA
Subjects: RNA, ADENOCARCINOMA
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ABNT
PAIXÃO, Vinicius Ferreira da et al. Annotation and functional characterization of long noncoding RNAs deregulated in pancreatic adenocarcinoma. Cellular Oncology, v. 45, n. 3, p. 479-504, 2022Tradução . . Disponível em: https://doi.org/10.1007/s13402-022-00678-5. Acesso em: 19 jul. 2024.
APA
Paixão, V. F. da, Sosa, O. J., Pellegrina, D. V. da S., Dazzani, B., Corrêa, T. B., Bertoldi, E. R. M., et al. (2022). Annotation and functional characterization of long noncoding RNAs deregulated in pancreatic adenocarcinoma. Cellular Oncology, 45( 3), 479-504. doi:10.1007/s13402-022-00678-5
NLM
Paixão VF da, Sosa OJ, Pellegrina DV da S, Dazzani B, Corrêa TB, Bertoldi ERM, Moraes LB da C e A de, Pessoa D de O, Oliveira V de P, Zevallos RAC, Russo LC, Forti FL, Ferreira JE, Freitas HC, Jukemura J, Machado MCC, Begnami MD, Setubal JC, Bassères DS, Reis EM. Annotation and functional characterization of long noncoding RNAs deregulated in pancreatic adenocarcinoma [Internet]. Cellular Oncology. 2022 ; 45( 3): 479-504.[citado 2024 jul. 19 ] Available from: https://doi.org/10.1007/s13402-022-00678-5
Vancouver
Paixão VF da, Sosa OJ, Pellegrina DV da S, Dazzani B, Corrêa TB, Bertoldi ERM, Moraes LB da C e A de, Pessoa D de O, Oliveira V de P, Zevallos RAC, Russo LC, Forti FL, Ferreira JE, Freitas HC, Jukemura J, Machado MCC, Begnami MD, Setubal JC, Bassères DS, Reis EM. Annotation and functional characterization of long noncoding RNAs deregulated in pancreatic adenocarcinoma [Internet]. Cellular Oncology. 2022 ; 45( 3): 479-504.[citado 2024 jul. 19 ] Available from: https://doi.org/10.1007/s13402-022-00678-5
Artigo de periodico
The neuroscience experiments system (NES): a software tool to manage experimental data and its provenance (2022)
Ruiz Olazar, Margarita ; Rocha, Evandro Santos; Vargas, Claudia D. ; Braghetto, Kelly Rosa
Source: Frontiers in Neuroinformatics. Unidades: BIOINFORMÁTICA, IME
Subjects: NEUROCIÊNCIAS, BANCO DE DADOS, SOFTWARE LIVRE
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ABNT
RUIZ OLAZAR, Margarita et al. The neuroscience experiments system (NES): a software tool to manage experimental data and its provenance. Frontiers in Neuroinformatics, v. 157, 2022Tradução . . Disponível em: https://doi.org/10.3389/fninf.2021.768615. Acesso em: 19 jul. 2024.
APA
Ruiz Olazar, M., Rocha, E. S., Vargas, C. D., & Braghetto, K. R. (2022). The neuroscience experiments system (NES): a software tool to manage experimental data and its provenance. Frontiers in Neuroinformatics, 157. doi:10.3389/fninf.2021.768615
NLM
Ruiz Olazar M, Rocha ES, Vargas CD, Braghetto KR. The neuroscience experiments system (NES): a software tool to manage experimental data and its provenance [Internet]. Frontiers in Neuroinformatics. 2022 ; 157[citado 2024 jul. 19 ] Available from: https://doi.org/10.3389/fninf.2021.768615
Vancouver
Ruiz Olazar M, Rocha ES, Vargas CD, Braghetto KR. The neuroscience experiments system (NES): a software tool to manage experimental data and its provenance [Internet]. Frontiers in Neuroinformatics. 2022 ; 157[citado 2024 jul. 19 ] Available from: https://doi.org/10.3389/fninf.2021.768615
Artigo de periodico
Longitudinal 16S rRNA gut microbiota data of infant triplets show partial susceptibility to host genetics (2022)
Palmeira, Ondina; Matos, Larissa R. B; Naslavsky, Michel ; Bueno, Heloisa Maria Siqueira ; Soler, Júlia Maria Pavan ; Setubal, João Carlos ; Zatz, Mayana
Source: iScience. Unidades: IB, IQ, IME, BIOINFORMÁTICA
Subjects: BIOTA INTESTINAL, BEBÊS, RNA
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ABNT
PALMEIRA, Ondina et al. Longitudinal 16S rRNA gut microbiota data of infant triplets show partial susceptibility to host genetics. iScience, v. 25, n. 3, p. 1-18 art. 103861, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.isci.2022.103861. Acesso em: 19 jul. 2024.
APA
Palmeira, O., Matos, L. R. B., Naslavsky, M., Bueno, H. M. S., Soler, J. M. P., Setubal, J. C., & Zatz, M. (2022). Longitudinal 16S rRNA gut microbiota data of infant triplets show partial susceptibility to host genetics. iScience, 25( 3), 1-18 art. 103861. doi:10.1016/j.isci.2022.103861
NLM
Palmeira O, Matos LRB, Naslavsky M, Bueno HMS, Soler JMP, Setubal JC, Zatz M. Longitudinal 16S rRNA gut microbiota data of infant triplets show partial susceptibility to host genetics [Internet]. iScience. 2022 ; 25( 3): 1-18 art. 103861.[citado 2024 jul. 19 ] Available from: https://doi.org/10.1016/j.isci.2022.103861
Vancouver
Palmeira O, Matos LRB, Naslavsky M, Bueno HMS, Soler JMP, Setubal JC, Zatz M. Longitudinal 16S rRNA gut microbiota data of infant triplets show partial susceptibility to host genetics [Internet]. iScience. 2022 ; 25( 3): 1-18 art. 103861.[citado 2024 jul. 19 ] Available from: https://doi.org/10.1016/j.isci.2022.103861
Artigo de periodico
SARS‑CoV‑2 host prediction based on virus‑host genetic features (2022)
Kawashima, IrinaYuri ; Lopez, Maria Claudia Negret ; Cunha, Marielton dos Passos ; Hashimoto, Ronaldo Fumio
Source: Scientific Reports. Unidades: IME, BIOINFORMÁTICA
Subjects: GEOMETRIA E MODELAGEM COMPUTACIONAL, BIOINFORMÁTICA
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ABNT
KAWASHIMA, IrinaYuri et al. SARS‑CoV‑2 host prediction based on virus‑host genetic features. Scientific Reports, v. 12, n. artigo 4576, p. 1-9, 2022Tradução . . Disponível em: https://doi.org/10.1038/s41598-022-08350-6. Acesso em: 19 jul. 2024.
APA
Kawashima, I. Y., Lopez, M. C. N., Cunha, M. dos P., & Hashimoto, R. F. (2022). SARS‑CoV‑2 host prediction based on virus‑host genetic features. Scientific Reports, 12( artigo 4576), 1-9. doi:10.1038/s41598-022-08350-6
NLM
Kawashima IY, Lopez MCN, Cunha M dos P, Hashimoto RF. SARS‑CoV‑2 host prediction based on virus‑host genetic features [Internet]. Scientific Reports. 2022 ; 12( artigo 4576): 1-9.[citado 2024 jul. 19 ] Available from: https://doi.org/10.1038/s41598-022-08350-6
Vancouver
Kawashima IY, Lopez MCN, Cunha M dos P, Hashimoto RF. SARS‑CoV‑2 host prediction based on virus‑host genetic features [Internet]. Scientific Reports. 2022 ; 12( artigo 4576): 1-9.[citado 2024 jul. 19 ] Available from: https://doi.org/10.1038/s41598-022-08350-6
Trabalho de evento-resumo
LACEN: an R package for lncRNA functional annotation using co-expression networks (2022)
Sanches, Leonardo ; Pato, Gabriel Torres Gomes; Pellegrina, Diogo Vieira da Silva ; Ferreira, João Eduardo ; Reis, Eduardo Moraes
Source: Abstract Book. Conference titles: Annual Meeting of the Brazilian Society for Biochemistry and Molecular Biology/SBBq. Unidades: IME, IQ, BIOINFORMÁTICA
Subjects: RNA, NEOPLASIAS
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ABNT
SANCHES, Leonardo et al. LACEN: an R package for lncRNA functional annotation using co-expression networks. 2022, Anais.. São Paulo: Sociedade Brasileira de Bioquímica e Biologia Molecular, 2022. Disponível em: https://www2.sbbq.org.br/reuniao/2022/images/livro_completo.pdf. Acesso em: 19 jul. 2024.
APA
Sanches, L., Pato, G. T. G., Pellegrina, D. V. da S., Ferreira, J. E., & Reis, E. M. (2022). LACEN: an R package for lncRNA functional annotation using co-expression networks. In Abstract Book. São Paulo: Sociedade Brasileira de Bioquímica e Biologia Molecular. Recuperado de https://www2.sbbq.org.br/reuniao/2022/images/livro_completo.pdf
NLM
Sanches L, Pato GTG, Pellegrina DV da S, Ferreira JE, Reis EM. LACEN: an R package for lncRNA functional annotation using co-expression networks [Internet]. Abstract Book. 2022 ;[citado 2024 jul. 19 ] Available from: https://www2.sbbq.org.br/reuniao/2022/images/livro_completo.pdf
Vancouver
Sanches L, Pato GTG, Pellegrina DV da S, Ferreira JE, Reis EM. LACEN: an R package for lncRNA functional annotation using co-expression networks [Internet]. Abstract Book. 2022 ;[citado 2024 jul. 19 ] Available from: https://www2.sbbq.org.br/reuniao/2022/images/livro_completo.pdf
Artigo de periodico
Cell-to-cell trafficking patterns in cell lines of Araucaria angustifolia (Brazilian pine) with contrasting embryogenic potential (2022)
Navarro, Bruno V ; Elbl, Paula ; Oliveira, Leandro F. de ; Piovezani, Amanda R ; Santos, André L. W. dos ; Souza, Diego Trindade de ; Demarco, Diego ; Buckeridge, Marcos ; Floh, Eny Iochevet Segal
Source: Plant Cell, Tissue and Organ Culture. Unidades: IB, ESALQ, BIOINFORMÁTICA, IME
Subjects: BOTÂNICA (CLASSIFICAÇÃO), EXPRESSÃO GÊNICA, CONÍFERAS, EMBRIOGÊNESE SOMÁTICA, DESENVOLVIMENTO VEGETAL, GENÉTICA VEGETAL, MORFOGÊNESE VEGETAL
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ABNT
NAVARRO, Bruno V et al. Cell-to-cell trafficking patterns in cell lines of Araucaria angustifolia (Brazilian pine) with contrasting embryogenic potential. Plant Cell, Tissue and Organ Culture, v. 148, p. 81-93, 2022Tradução . . Disponível em: https://doi.org/10.1007/s11240-021-02166-4. Acesso em: 19 jul. 2024.
APA
Navarro, B. V., Elbl, P., Oliveira, L. F. de, Piovezani, A. R., Santos, A. L. W. dos, Souza, D. T. de, et al. (2022). Cell-to-cell trafficking patterns in cell lines of Araucaria angustifolia (Brazilian pine) with contrasting embryogenic potential. Plant Cell, Tissue and Organ Culture, 148, 81-93. doi:10.1007/s11240-021-02166-4
NLM
Navarro BV, Elbl P, Oliveira LF de, Piovezani AR, Santos ALW dos, Souza DT de, Demarco D, Buckeridge M, Floh EIS. Cell-to-cell trafficking patterns in cell lines of Araucaria angustifolia (Brazilian pine) with contrasting embryogenic potential [Internet]. Plant Cell, Tissue and Organ Culture. 2022 ; 148 81-93.[citado 2024 jul. 19 ] Available from: https://doi.org/10.1007/s11240-021-02166-4
Vancouver
Navarro BV, Elbl P, Oliveira LF de, Piovezani AR, Santos ALW dos, Souza DT de, Demarco D, Buckeridge M, Floh EIS. Cell-to-cell trafficking patterns in cell lines of Araucaria angustifolia (Brazilian pine) with contrasting embryogenic potential [Internet]. Plant Cell, Tissue and Organ Culture. 2022 ; 148 81-93.[citado 2024 jul. 19 ] Available from: https://doi.org/10.1007/s11240-021-02166-4
Trabalho de evento
Predicting soft robot's locomotion fitness (2021)
Biazzi, Renata Biaggi ; Fujita, André ; Takahashi, Daniel Yasumasa
Source: Proceedings. Conference titles: Genetic and Evolutionary Computation Conference Companion - GECCO. Unidades: IME, BIOINFORMÁTICA
Subjects: ROBÓTICA, LOCOMOÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BIAZZI, Renata Biaggi e FUJITA, André e TAKAHASHI, Daniel Yasumasa. Predicting soft robot's locomotion fitness. 2021, Anais.. New York: ACM, 2021. Disponível em: https://doi.org/10.1145/3449726.3459417. Acesso em: 19 jul. 2024.
APA
Biazzi, R. B., Fujita, A., & Takahashi, D. Y. (2021). Predicting soft robot's locomotion fitness. In Proceedings. New York: ACM. doi:10.1145/3449726.3459417
NLM
Biazzi RB, Fujita A, Takahashi DY. Predicting soft robot's locomotion fitness [Internet]. Proceedings. 2021 ;[citado 2024 jul. 19 ] Available from: https://doi.org/10.1145/3449726.3459417
Vancouver
Biazzi RB, Fujita A, Takahashi DY. Predicting soft robot's locomotion fitness [Internet]. Proceedings. 2021 ;[citado 2024 jul. 19 ] Available from: https://doi.org/10.1145/3449726.3459417
Artigo de periodico
Melatonin-Index as a biomarker for predicting the distribution of presymptomatic and asymptomatic SARS-CoV-2 carriers (2021)
Fernandes, Pedro Augusto ; Kinker, Gabriela Sarti ; Navarro, Bruno Viana; Carvalho, Vinícius Jardim; Paz, Edson Duarte Ribeiro; Córdoba-Moreno, Marlina Olyissa ; Santos-Silva, Débora; Muxel, Sandra Márcia ; Fujita, André ; Moraes, Carolina Borsoi ; Nakaya, Helder Takashi Imoto ; Buckeridge, Marcos ; Markus, Regina P
Source: Melatonin Research. Unidades: IB, IME, FCF, BIOINFORMÁTICA
Subjects: MELATONINA, DOENÇAS INFECCIOSAS
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ABNT
FERNANDES, Pedro Augusto et al. Melatonin-Index as a biomarker for predicting the distribution of presymptomatic and asymptomatic SARS-CoV-2 carriers. Melatonin Research, v. 24, n. 1, p. 189-205, 2021Tradução . . Disponível em: https://doi.org/10.32794/mr11250090. Acesso em: 19 jul. 2024.
APA
Fernandes, P. A., Kinker, G. S., Navarro, B. V., Carvalho, V. J., Paz, E. D. R., Córdoba-Moreno, M. O., et al. (2021). Melatonin-Index as a biomarker for predicting the distribution of presymptomatic and asymptomatic SARS-CoV-2 carriers. Melatonin Research, 24( 1), 189-205. doi:10.32794/mr11250090
NLM
Fernandes PA, Kinker GS, Navarro BV, Carvalho VJ, Paz EDR, Córdoba-Moreno MO, Santos-Silva D, Muxel SM, Fujita A, Moraes CB, Nakaya HTI, Buckeridge M, Markus RP. Melatonin-Index as a biomarker for predicting the distribution of presymptomatic and asymptomatic SARS-CoV-2 carriers [Internet]. Melatonin Research. 2021 ; 24( 1): 189-205.[citado 2024 jul. 19 ] Available from: https://doi.org/10.32794/mr11250090
Vancouver
Fernandes PA, Kinker GS, Navarro BV, Carvalho VJ, Paz EDR, Córdoba-Moreno MO, Santos-Silva D, Muxel SM, Fujita A, Moraes CB, Nakaya HTI, Buckeridge M, Markus RP. Melatonin-Index as a biomarker for predicting the distribution of presymptomatic and asymptomatic SARS-CoV-2 carriers [Internet]. Melatonin Research. 2021 ; 24( 1): 189-205.[citado 2024 jul. 19 ] Available from: https://doi.org/10.32794/mr11250090
Trabalho de evento-anais periodico
OA02.02 development of machine learning model to estimate overall survival in patients with advanced NSCLC and ECOG-PS > 1 (2021)
Cunha, M; Borges, A. P; Carvalho, Vinicius Jardim ; Fujita, André ; Castro, G. D
Source: Journal of Thoracic Oncology. Conference titles: World Conference on Lung Cancer Worldwide. Unidades: IME, BIOINFORMÁTICA
Subjects: INTELIGÊNCIA ARTIFICIAL, CUIDADOS PALIATIVOS
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ABNT
CUNHA, M et al. OA02.02 development of machine learning model to estimate overall survival in patients with advanced NSCLC and ECOG-PS > 1. Journal of Thoracic Oncology. New York: Instituto de Matemática e Estatística, Universidade de São Paulo. Disponível em: https://doi.org/10.1016/j.jtho.2021.08.038. Acesso em: 19 jul. 2024. , 2021
APA
Cunha, M., Borges, A. P., Carvalho, V. J., Fujita, A., & Castro, G. D. (2021). OA02.02 development of machine learning model to estimate overall survival in patients with advanced NSCLC and ECOG-PS > 1. Journal of Thoracic Oncology. New York: Instituto de Matemática e Estatística, Universidade de São Paulo. doi:10.1016/j.jtho.2021.08.038
NLM
Cunha M, Borges AP, Carvalho VJ, Fujita A, Castro GD. OA02.02 development of machine learning model to estimate overall survival in patients with advanced NSCLC and ECOG-PS > 1 [Internet]. Journal of Thoracic Oncology. 2021 ; 16( 10): S850.[citado 2024 jul. 19 ] Available from: https://doi.org/10.1016/j.jtho.2021.08.038
Vancouver
Cunha M, Borges AP, Carvalho VJ, Fujita A, Castro GD. OA02.02 development of machine learning model to estimate overall survival in patients with advanced NSCLC and ECOG-PS > 1 [Internet]. Journal of Thoracic Oncology. 2021 ; 16( 10): S850.[citado 2024 jul. 19 ] Available from: https://doi.org/10.1016/j.jtho.2021.08.038
Artigo de periodico
TSSFinder—fast and accurate ab initio prediction of the core promoter in eukaryotic genomes (2021)
Oliveira, Mauro de Medeiros ; Bonadio, Ígor ; Melo, Alícia Lie de ; Souza, Gláucia Mendes ; Durham, Alan Mitchell
Source: Briefings in Bioinformatics. Unidades: IQ, IME, BIOINFORMÁTICA
Subjects: TRANSCRIÇÃO GÊNICA, BIOINFORMÁTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
OLIVEIRA, Mauro de Medeiros et al. TSSFinder—fast and accurate ab initio prediction of the core promoter in eukaryotic genomes. Briefings in Bioinformatics, v. 22, n. 6, p. 1-12, 2021Tradução . . Disponível em: https://doi.org/10.1093/bib/bbab198. Acesso em: 19 jul. 2024.
APA
Oliveira, M. de M., Bonadio, Í., Melo, A. L. de, Souza, G. M., & Durham, A. M. (2021). TSSFinder—fast and accurate ab initio prediction of the core promoter in eukaryotic genomes. Briefings in Bioinformatics, 22( 6), 1-12. doi:10.1093/bib/bbab198
NLM
Oliveira M de M, Bonadio Í, Melo AL de, Souza GM, Durham AM. TSSFinder—fast and accurate ab initio prediction of the core promoter in eukaryotic genomes [Internet]. Briefings in Bioinformatics. 2021 ; 22( 6): 1-12.[citado 2024 jul. 19 ] Available from: https://doi.org/10.1093/bib/bbab198
Vancouver
Oliveira M de M, Bonadio Í, Melo AL de, Souza GM, Durham AM. TSSFinder—fast and accurate ab initio prediction of the core promoter in eukaryotic genomes [Internet]. Briefings in Bioinformatics. 2021 ; 22( 6): 1-12.[citado 2024 jul. 19 ] Available from: https://doi.org/10.1093/bib/bbab198
Artigo de periodico
Noninvasive prenatal paternity determination using microhaplotypes: a pilot study (2020)
Wang, Jaqueline Yu Ting; Whittle, Martin R. ; Puga, Renato David ; Yambartsev, Anatoli ; Fujita, André ; Nakaya, Helder Takashi Imoto
Source: BMC Medical Genomics. Unidades: IME, FCF, BIOINFORMÁTICA
Subjects: DIAGNÓSTICO PRÉ-NATAL, PATERNIDADE, BIOINFORMÁTICA, HAPLOTIPOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
WANG, Jaqueline Yu Ting et al. Noninvasive prenatal paternity determination using microhaplotypes: a pilot study. BMC Medical Genomics, v. 13, n. art. 157, p. 1-8, 2020Tradução . . Disponível em: https://doi.org/10.1186/s12920-020-00806-w. Acesso em: 19 jul. 2024.
APA
Wang, J. Y. T., Whittle, M. R., Puga, R. D., Yambartsev, A., Fujita, A., & Nakaya, H. T. I. (2020). Noninvasive prenatal paternity determination using microhaplotypes: a pilot study. BMC Medical Genomics, 13( art. 157), 1-8. doi:10.1186/s12920-020-00806-w
NLM
Wang JYT, Whittle MR, Puga RD, Yambartsev A, Fujita A, Nakaya HTI. Noninvasive prenatal paternity determination using microhaplotypes: a pilot study [Internet]. BMC Medical Genomics. 2020 ; 13( art. 157): 1-8.[citado 2024 jul. 19 ] Available from: https://doi.org/10.1186/s12920-020-00806-w
Vancouver
Wang JYT, Whittle MR, Puga RD, Yambartsev A, Fujita A, Nakaya HTI. Noninvasive prenatal paternity determination using microhaplotypes: a pilot study [Internet]. BMC Medical Genomics. 2020 ; 13( art. 157): 1-8.[citado 2024 jul. 19 ] Available from: https://doi.org/10.1186/s12920-020-00806-w
Trabalho de evento-resumo periodico
Impact of systemic inflammation, intramuscular adipose tissue content, and EORTC-QLQ-CAX24 symptom scale on the prognosis of patients with advanced non-small-cell lung cancer (2020)
Castro Junior, Gilberto de ; Neves, Willan das ; Borges, Ana Paula de Souza ; Carvalho, Vinicius Jardim ; Brum, Patrícia Chakur ; Fujita, André
Source: Annals of Oncology. Conference titles: European Society for Medical Oncology Congress - ESMO. Unidades: IME, EEFE, FM, BIOINFORMÁTICA
Assunto: BIOINFORMÁTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CASTRO JUNIOR, Gilberto de et al. Impact of systemic inflammation, intramuscular adipose tissue content, and EORTC-QLQ-CAX24 symptom scale on the prognosis of patients with advanced non-small-cell lung cancer. Annals of Oncology. Amsterdam: Instituto de Matemática e Estatística, Universidade de São Paulo. Disponível em: https://doi.org/10.1016/j.annonc.2020.08.1460. Acesso em: 19 jul. 2024. , 2020
APA
Castro Junior, G. de, Neves, W. das, Borges, A. P. de S., Carvalho, V. J., Brum, P. C., & Fujita, A. (2020). Impact of systemic inflammation, intramuscular adipose tissue content, and EORTC-QLQ-CAX24 symptom scale on the prognosis of patients with advanced non-small-cell lung cancer. Annals of Oncology. Amsterdam: Instituto de Matemática e Estatística, Universidade de São Paulo. doi:10.1016/j.annonc.2020.08.1460
NLM
Castro Junior G de, Neves W das, Borges AP de S, Carvalho VJ, Brum PC, Fujita A. Impact of systemic inflammation, intramuscular adipose tissue content, and EORTC-QLQ-CAX24 symptom scale on the prognosis of patients with advanced non-small-cell lung cancer [Internet]. Annals of Oncology. 2020 ; 31( supl. 4): S1047.[citado 2024 jul. 19 ] Available from: https://doi.org/10.1016/j.annonc.2020.08.1460
Vancouver
Castro Junior G de, Neves W das, Borges AP de S, Carvalho VJ, Brum PC, Fujita A. Impact of systemic inflammation, intramuscular adipose tissue content, and EORTC-QLQ-CAX24 symptom scale on the prognosis of patients with advanced non-small-cell lung cancer [Internet]. Annals of Oncology. 2020 ; 31( supl. 4): S1047.[citado 2024 jul. 19 ] Available from: https://doi.org/10.1016/j.annonc.2020.08.1460
Parte de monografia/livro
Computational tools for comparing gene coexpression networks (2020)
Carvalho, Vinicius Jardim ; Moreno, Camila Castro; Fujita, André
Source: Networks in systems biology : applications for disease modeling. Unidades: IME, BIOINFORMÁTICA
Assunto: BIOINFORMÁTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CARVALHO, Vinicius Jardim e MORENO, Camila Castro e FUJITA, André. Computational tools for comparing gene coexpression networks. Networks in systems biology : applications for disease modeling. Tradução . Cham: Springer, 2020. . Disponível em: https://doi.org/10.1007/978-3-030-51862-2_2. Acesso em: 19 jul. 2024.
APA
Carvalho, V. J., Moreno, C. C., & Fujita, A. (2020). Computational tools for comparing gene coexpression networks. In Networks in systems biology : applications for disease modeling. Cham: Springer. doi:10.1007/978-3-030-51862-2_2
NLM
Carvalho VJ, Moreno CC, Fujita A. Computational tools for comparing gene coexpression networks [Internet]. In: Networks in systems biology : applications for disease modeling. Cham: Springer; 2020. [citado 2024 jul. 19 ] Available from: https://doi.org/10.1007/978-3-030-51862-2_2
Vancouver
Carvalho VJ, Moreno CC, Fujita A. Computational tools for comparing gene coexpression networks [Internet]. In: Networks in systems biology : applications for disease modeling. Cham: Springer; 2020. [citado 2024 jul. 19 ] Available from: https://doi.org/10.1007/978-3-030-51862-2_2

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