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Trabalho de evento-resumo periodico
An integrative approach to investigate the respective roles of single-nucleotide variants and copy-number variants in attention-deficit/hyperactivity disorder (2017)
Santos, Ana Cecilia Feio dos; Brentani, Helena
Fonte: European neuropsychopharmacology. Nome do evento: 23rd Annual World Congress of Psychiatric Genetics (WCPG). Unidade: FM
Assuntos: BIOINFORMÁTICA, TRANSTORNO DO DEFICIT DE ATENÇÃO COM HIPERATIVIDADE, CRIANÇAS
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ABNT
SANTOS, Ana Cecilia Feio dos e BRENTANI, Helena. An integrative approach to investigate the respective roles of single-nucleotide variants and copy-number variants in attention-deficit/hyperactivity disorder. European neuropsychopharmacology. Amsterdam: Faculdade de Medicina, Universidade de São Paulo. . Acesso em: 15 nov. 2025. , 2017
APA
Santos, A. C. F. dos, & Brentani, H. (2017). An integrative approach to investigate the respective roles of single-nucleotide variants and copy-number variants in attention-deficit/hyperactivity disorder. European neuropsychopharmacology. Amsterdam: Faculdade de Medicina, Universidade de São Paulo.
NLM
Santos ACF dos, Brentani H. An integrative approach to investigate the respective roles of single-nucleotide variants and copy-number variants in attention-deficit/hyperactivity disorder. European neuropsychopharmacology. 2017 ; 27 S207-S208.[citado 2025 nov. 15 ]
Vancouver
Santos ACF dos, Brentani H. An integrative approach to investigate the respective roles of single-nucleotide variants and copy-number variants in attention-deficit/hyperactivity disorder. European neuropsychopharmacology. 2017 ; 27 S207-S208.[citado 2025 nov. 15 ]
Trabalho de evento-resumo periodico
Exome and transcriptome data integration in autism spectrum dirorder trio revealed PPI sub-networks affected with de novo and inherited rate variants grouping patients by different biological pathways (2017)
Reis, Viviane Neri de Souza; Tahira, Ana; Lisboa, Bianca; Santos, Ana Cecilia Feio dos; Portolese, Joana; Zachi, Elaine; Lima, Leandro; Simões, Sergio; Marie, Suely Kazue Nagahashi; Brentani, Helena Paula
Fonte: European neuropsychopharmacology. Nome do evento: 23rd Annual World Congress of Psychiatric Genetics (WCPG). Unidade: FM
Assuntos: TRANSTORNO AUTÍSTICO, EXONS, GENES, GENÉTICA, BIOINFORMÁTICA
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ABNT
REIS, Viviane Neri de Souza et al. Exome and transcriptome data integration in autism spectrum dirorder trio revealed PPI sub-networks affected with de novo and inherited rate variants grouping patients by different biological pathways. European neuropsychopharmacology. Amsterdam: Faculdade de Medicina, Universidade de São Paulo. . Acesso em: 15 nov. 2025. , 2017
APA
Reis, V. N. de S., Tahira, A., Lisboa, B., Santos, A. C. F. dos, Portolese, J., Zachi, E., et al. (2017). Exome and transcriptome data integration in autism spectrum dirorder trio revealed PPI sub-networks affected with de novo and inherited rate variants grouping patients by different biological pathways. European neuropsychopharmacology. Amsterdam: Faculdade de Medicina, Universidade de São Paulo.
NLM
Reis VN de S, Tahira A, Lisboa B, Santos ACF dos, Portolese J, Zachi E, Lima L, Simões S, Marie SKN, Brentani HP. Exome and transcriptome data integration in autism spectrum dirorder trio revealed PPI sub-networks affected with de novo and inherited rate variants grouping patients by different biological pathways. European neuropsychopharmacology. 2017 ; 27 S221-S222.[citado 2025 nov. 15 ]
Vancouver
Reis VN de S, Tahira A, Lisboa B, Santos ACF dos, Portolese J, Zachi E, Lima L, Simões S, Marie SKN, Brentani HP. Exome and transcriptome data integration in autism spectrum dirorder trio revealed PPI sub-networks affected with de novo and inherited rate variants grouping patients by different biological pathways. European neuropsychopharmacology. 2017 ; 27 S221-S222.[citado 2025 nov. 15 ]
Trabalho de evento-anais periodico
NERI: network-medicine based integrative approach for disease gene prioritization by relative importance (2015)
Simões, Sérgio Nery; Martins Júnior, David Correa; Pereira, Carlos Alberto de Bragança ; Hashimoto, Ronaldo Fumio ; Brentani, Helena
Fonte: BMC Bioinformatics. Nome do evento: Brazilian Symposium on Bioinformatics 2014. Unidades: IME, FM
Assunto: BIOINFORMÁTICA
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ABNT
SIMÕES, Sérgio Nery et al. NERI: network-medicine based integrative approach for disease gene prioritization by relative importance. BMC Bioinformatics. London: Instituto de Matemática e Estatística, Universidade de São Paulo. Disponível em: https://doi.org/10.1186/1471-2105-16-S19-S9. Acesso em: 15 nov. 2025. , 2015
APA
Simões, S. N., Martins Júnior, D. C., Pereira, C. A. de B., Hashimoto, R. F., & Brentani, H. (2015). NERI: network-medicine based integrative approach for disease gene prioritization by relative importance. BMC Bioinformatics. London: Instituto de Matemática e Estatística, Universidade de São Paulo. doi:10.1186/1471-2105-16-S19-S9
NLM
Simões SN, Martins Júnior DC, Pereira CA de B, Hashimoto RF, Brentani H. NERI: network-medicine based integrative approach for disease gene prioritization by relative importance [Internet]. BMC Bioinformatics. 2015 ; 16( article º S9): 14 .[citado 2025 nov. 15 ] Available from: https://doi.org/10.1186/1471-2105-16-S19-S9
Vancouver
Simões SN, Martins Júnior DC, Pereira CA de B, Hashimoto RF, Brentani H. NERI: network-medicine based integrative approach for disease gene prioritization by relative importance [Internet]. BMC Bioinformatics. 2015 ; 16( article º S9): 14 .[citado 2025 nov. 15 ] Available from: https://doi.org/10.1186/1471-2105-16-S19-S9
Artigo de periodico
Identifying dense subgraphs in protein–protein interaction network for gene selection from microarray data (2015)
Swarnkar, Tripti; Simões, Sérgio Nery; Anura, Anji; Brentani, Helena; Chatterjee, Jyotirmoy; Hashimoto, Ronaldo Fumio ; Martins, David Correa; Mitra, Pabitra
Fonte: Network Modeling Analysis in Health Informatics and Bioinformatics. Unidades: FM, IME
Assuntos: COMPUTAÇÃO GRÁFICA, BIOINFORMÁTICA
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ABNT
SWARNKAR, Tripti et al. Identifying dense subgraphs in protein–protein interaction network for gene selection from microarray data. Network Modeling Analysis in Health Informatics and Bioinformatics, v. 4, n. 1, p. 1-18, 2015Tradução . . Disponível em: https://doi.org/10.1007/s13721-015-0104-3. Acesso em: 15 nov. 2025.
APA
Swarnkar, T., Simões, S. N., Anura, A., Brentani, H., Chatterjee, J., Hashimoto, R. F., et al. (2015). Identifying dense subgraphs in protein–protein interaction network for gene selection from microarray data. Network Modeling Analysis in Health Informatics and Bioinformatics, 4( 1), 1-18. doi:10.1007/s13721-015-0104-3
NLM
Swarnkar T, Simões SN, Anura A, Brentani H, Chatterjee J, Hashimoto RF, Martins DC, Mitra P. Identifying dense subgraphs in protein–protein interaction network for gene selection from microarray data [Internet]. Network Modeling Analysis in Health Informatics and Bioinformatics. 2015 ; 4( 1): 1-18.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1007/s13721-015-0104-3
Vancouver
Swarnkar T, Simões SN, Anura A, Brentani H, Chatterjee J, Hashimoto RF, Martins DC, Mitra P. Identifying dense subgraphs in protein–protein interaction network for gene selection from microarray data [Internet]. Network Modeling Analysis in Health Informatics and Bioinformatics. 2015 ; 4( 1): 1-18.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1007/s13721-015-0104-3
Artigo de periodico
Genome-wide DNA methylation profile of leukocytes from melanoma patients with and without CDKN2A mutations (2014)
Araújo, Érica Sara Souza de; Marchi, Fabio Albuquerque; Rodrigues, Tatiane Cristina; Vieira, Henrique Cursino; Kuasne, Hellen; Achatz, Maria Isabel Waddington; Moredo, Luciana Facure; Sá, Bianca Costa Soares de; Duprat, João Pereira; Brentani, Helena Paula; Rosenberg, Carla ; Carraro, Dirce Maria; Krepischi, Ana Cristina Victorino
Fonte: Experimental and Molecular Pathology. Unidades: FM, IB
Assuntos: MELANOMA, LEUCÓCITOS, MUTAÇÃO GENÉTICA, NEOPLASIAS (GENÉTICA), BIOINFORMÁTICA
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ABNT
ARAÚJO, Érica Sara Souza de et al. Genome-wide DNA methylation profile of leukocytes from melanoma patients with and without CDKN2A mutations. Experimental and Molecular Pathology, v. 97, n. 3, p. 425-432, 2014Tradução . . Disponível em: https://doi.org/10.1016/j.yexmp.2014.09.009. Acesso em: 15 nov. 2025.
APA
Araújo, É. S. S. de, Marchi, F. A., Rodrigues, T. C., Vieira, H. C., Kuasne, H., Achatz, M. I. W., et al. (2014). Genome-wide DNA methylation profile of leukocytes from melanoma patients with and without CDKN2A mutations. Experimental and Molecular Pathology, 97( 3), 425-432. doi:10.1016/j.yexmp.2014.09.009
NLM
Araújo ÉSS de, Marchi FA, Rodrigues TC, Vieira HC, Kuasne H, Achatz MIW, Moredo LF, Sá BCS de, Duprat JP, Brentani HP, Rosenberg C, Carraro DM, Krepischi ACV. Genome-wide DNA methylation profile of leukocytes from melanoma patients with and without CDKN2A mutations [Internet]. Experimental and Molecular Pathology. 2014 ; 97( 3): 425-432.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1016/j.yexmp.2014.09.009
Vancouver
Araújo ÉSS de, Marchi FA, Rodrigues TC, Vieira HC, Kuasne H, Achatz MIW, Moredo LF, Sá BCS de, Duprat JP, Brentani HP, Rosenberg C, Carraro DM, Krepischi ACV. Genome-wide DNA methylation profile of leukocytes from melanoma patients with and without CDKN2A mutations [Internet]. Experimental and Molecular Pathology. 2014 ; 97( 3): 425-432.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1016/j.yexmp.2014.09.009
Trabalho de evento
Network-based disease gene prioritization by hitting time analysis (2014)
Lima, Leandro de Araújo ; Simões, Sérgio Nery ; Hashimoto, Ronaldo Fumio ; Martins Júnior, David Correa; Brentani, Helena Paula ; Mota, Guilherme Oliveira
Fonte: Proceedings. Nome do evento: IEEE International Conference on Bioinformatics and Bioengineering - BIBE. Unidades: IME, FM, Interunidades em Bioinformática
Assuntos: BIOINFORMÁTICA, COMPUTAÇÃO APLICADA, APRENDIZADO COMPUTACIONAL, GENÉTICA
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ABNT
LIMA, Leandro de Araújo et al. Network-based disease gene prioritization by hitting time analysis. 2014, Anais.. Los Alamitos: IEEE, 2014. Disponível em: https://doi.org/10.1109/BIBE.2014.22. Acesso em: 15 nov. 2025.
APA
Lima, L. de A., Simões, S. N., Hashimoto, R. F., Martins Júnior, D. C., Brentani, H. P., & Mota, G. O. (2014). Network-based disease gene prioritization by hitting time analysis. In Proceedings. Los Alamitos: IEEE. doi:10.1109/BIBE.2014.22
NLM
Lima L de A, Simões SN, Hashimoto RF, Martins Júnior DC, Brentani HP, Mota GO. Network-based disease gene prioritization by hitting time analysis [Internet]. Proceedings. 2014 ;[citado 2025 nov. 15 ] Available from: https://doi.org/10.1109/BIBE.2014.22
Vancouver
Lima L de A, Simões SN, Hashimoto RF, Martins Júnior DC, Brentani HP, Mota GO. Network-based disease gene prioritization by hitting time analysis [Internet]. Proceedings. 2014 ;[citado 2025 nov. 15 ] Available from: https://doi.org/10.1109/BIBE.2014.22
Trabalho de evento
Multiview clustering on PPI network for gene selection and enrichment from microarray data (2014)
Swarnkar, Tripti; Simões, Sérgio Nery; Martins Júnior, David Correa; Anura, Anji; Brentani, Helena; Hashimoto, Ronaldo Fumio ; Mitra, Pabitra
Fonte: Proceedings. Nome do evento: IEEE International Conference on Bioinformatics and Bioengineering - BIBE. Unidades: FM, IME
Assuntos: BIOINFORMÁTICA, COMPUTAÇÃO APLICADA, APRENDIZADO COMPUTACIONAL, GENÉTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SWARNKAR, Tripti et al. Multiview clustering on PPI network for gene selection and enrichment from microarray data. 2014, Anais.. Los Alamitos: IEEE, 2014. Disponível em: https://doi.org/10.1109/BIBE.2014.33. Acesso em: 15 nov. 2025.
APA
Swarnkar, T., Simões, S. N., Martins Júnior, D. C., Anura, A., Brentani, H., Hashimoto, R. F., & Mitra, P. (2014). Multiview clustering on PPI network for gene selection and enrichment from microarray data. In Proceedings. Los Alamitos: IEEE. doi:10.1109/BIBE.2014.33
NLM
Swarnkar T, Simões SN, Martins Júnior DC, Anura A, Brentani H, Hashimoto RF, Mitra P. Multiview clustering on PPI network for gene selection and enrichment from microarray data [Internet]. Proceedings. 2014 ;[citado 2025 nov. 15 ] Available from: https://doi.org/10.1109/BIBE.2014.33
Vancouver
Swarnkar T, Simões SN, Martins Júnior DC, Anura A, Brentani H, Hashimoto RF, Mitra P. Multiview clustering on PPI network for gene selection and enrichment from microarray data [Internet]. Proceedings. 2014 ;[citado 2025 nov. 15 ] Available from: https://doi.org/10.1109/BIBE.2014.33
Trabalho de evento
Shortest paths ranking methodology to identify alterations in PPI networks of complex diseases (2012)
Simões, Sérgio Nery; Martins Junior, David Correa; Brentani, Helena; Hashimoto, Ronaldo Fumio
Fonte: Proceedings. Nome do evento: ACM Conference on Bioinformatics, Computational Biology and Biomedicine - BCB '12. Unidades: FM, IME
Assunto: BIOINFORMÁTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SIMÕES, Sérgio Nery et al. Shortest paths ranking methodology to identify alterations in PPI networks of complex diseases. 2012, Anais.. New York: ACM, 2012. Disponível em: https://doi.org/10.1145/2382936.2383021. Acesso em: 15 nov. 2025.
APA
Simões, S. N., Martins Junior, D. C., Brentani, H., & Hashimoto, R. F. (2012). Shortest paths ranking methodology to identify alterations in PPI networks of complex diseases. In Proceedings. New York: ACM. doi:10.1145/2382936.2383021
NLM
Simões SN, Martins Junior DC, Brentani H, Hashimoto RF. Shortest paths ranking methodology to identify alterations in PPI networks of complex diseases [Internet]. Proceedings. 2012 ;[citado 2025 nov. 15 ] Available from: https://doi.org/10.1145/2382936.2383021
Vancouver
Simões SN, Martins Junior DC, Brentani H, Hashimoto RF. Shortest paths ranking methodology to identify alterations in PPI networks of complex diseases [Internet]. Proceedings. 2012 ;[citado 2025 nov. 15 ] Available from: https://doi.org/10.1145/2382936.2383021
Artigo de periodico
Computing a predictor set influence zone through a multi-layer genetic network to explore the role of estrogen in breast cancer (2012)
Lima, Leandro de Araújo; Ris, Marcelo; Barrera, Júnior; Brentani, Helena; Brentani, M. M
Fonte: Advances in Breast Cancer Research. Unidades: IME, FM
Assuntos: NEOPLASIAS, BIOINFORMÁTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LIMA, Leandro de Araújo et al. Computing a predictor set influence zone through a multi-layer genetic network to explore the role of estrogen in breast cancer. Advances in Breast Cancer Research, v. 1, n. 1, p. 21-29, 2012Tradução . . Disponível em: https://doi.org/10.4236/abcr.2012.13004. Acesso em: 15 nov. 2025.
APA
Lima, L. de A., Ris, M., Barrera, J., Brentani, H., & Brentani, M. M. (2012). Computing a predictor set influence zone through a multi-layer genetic network to explore the role of estrogen in breast cancer. Advances in Breast Cancer Research, 1( 1), 21-29. doi:10.4236/abcr.2012.13004
NLM
Lima L de A, Ris M, Barrera J, Brentani H, Brentani MM. Computing a predictor set influence zone through a multi-layer genetic network to explore the role of estrogen in breast cancer [Internet]. Advances in Breast Cancer Research. 2012 ; 1( 1): 21-29.[citado 2025 nov. 15 ] Available from: https://doi.org/10.4236/abcr.2012.13004
Vancouver
Lima L de A, Ris M, Barrera J, Brentani H, Brentani MM. Computing a predictor set influence zone through a multi-layer genetic network to explore the role of estrogen in breast cancer [Internet]. Advances in Breast Cancer Research. 2012 ; 1( 1): 21-29.[citado 2025 nov. 15 ] Available from: https://doi.org/10.4236/abcr.2012.13004

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