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Artigo de periodico
Gene network analysis of Plasmodium falciparum ubiquitin-proteasomal system pathways reveals co-expression of the E1, E2 and E3 enzymes during intraerythrocytic cycle (2025)
Cano, Lyang Higa ; Ahmed, Waqar ; Lima, Wânia Rezende; Martins, David Corrêa; Parreira, Kleber Simônio ; Garcia, Célia Regina da Silva ; Hashimoto, Ronaldo Fumio
Fonte: Heliyon. Unidades: FCF, IME, Interunidades em Bioinformática, EESC
Assuntos: GENÉTICA, GENÉTICA, BIOINFORMÁTICA
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ABNT
CANO, Lyang Higa et al. Gene network analysis of Plasmodium falciparum ubiquitin-proteasomal system pathways reveals co-expression of the E1, E2 and E3 enzymes during intraerythrocytic cycle. Heliyon, v. 11, n. artigo e44019, p. 1-12, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.heliyon.2025.e44019. Acesso em: 28 nov. 2025.
APA
Cano, L. H., Ahmed, W., Lima, W. R., Martins, D. C., Parreira, K. S., Garcia, C. R. da S., & Hashimoto, R. F. (2025). Gene network analysis of Plasmodium falciparum ubiquitin-proteasomal system pathways reveals co-expression of the E1, E2 and E3 enzymes during intraerythrocytic cycle. Heliyon, 11( artigo e44019), 1-12. doi:10.1016/j.heliyon.2025.e44019
NLM
Cano LH, Ahmed W, Lima WR, Martins DC, Parreira KS, Garcia CR da S, Hashimoto RF. Gene network analysis of Plasmodium falciparum ubiquitin-proteasomal system pathways reveals co-expression of the E1, E2 and E3 enzymes during intraerythrocytic cycle [Internet]. Heliyon. 2025 ; 11( artigo e44019): 1-12.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.heliyon.2025.e44019
Vancouver
Cano LH, Ahmed W, Lima WR, Martins DC, Parreira KS, Garcia CR da S, Hashimoto RF. Gene network analysis of Plasmodium falciparum ubiquitin-proteasomal system pathways reveals co-expression of the E1, E2 and E3 enzymes during intraerythrocytic cycle [Internet]. Heliyon. 2025 ; 11( artigo e44019): 1-12.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.heliyon.2025.e44019
Artigo de periodico
DNA damage-induced ferroptosis: a boolean model regulating p53 and non-coding RNAs in drug resistance (2025)
Gupta, Shantanu ; Silveira, Daner Acunha ; Mombach, Jose Carlos M. ; Hashimoto, Ronaldo Fumio
Fonte: Proteomes. Unidade: IME
Assuntos: BIOINFORMÁTICA, MODELAGEM COMPUTACIONAL, RNA
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GUPTA, Shantanu et al. DNA damage-induced ferroptosis: a boolean model regulating p53 and non-coding RNAs in drug resistance. Proteomes, v. 13, n. 1, p. 1-20, 2025Tradução . . Disponível em: https://doi.org/10.3390/proteomes13010006. Acesso em: 28 nov. 2025.
APA
Gupta, S., Silveira, D. A., Mombach, J. C. M., & Hashimoto, R. F. (2025). DNA damage-induced ferroptosis: a boolean model regulating p53 and non-coding RNAs in drug resistance. Proteomes, 13( 1), 1-20. doi:10.3390/proteomes13010006
NLM
Gupta S, Silveira DA, Mombach JCM, Hashimoto RF. DNA damage-induced ferroptosis: a boolean model regulating p53 and non-coding RNAs in drug resistance [Internet]. Proteomes. 2025 ; 13( 1): 1-20.[citado 2025 nov. 28 ] Available from: https://doi.org/10.3390/proteomes13010006
Vancouver
Gupta S, Silveira DA, Mombach JCM, Hashimoto RF. DNA damage-induced ferroptosis: a boolean model regulating p53 and non-coding RNAs in drug resistance [Internet]. Proteomes. 2025 ; 13( 1): 1-20.[citado 2025 nov. 28 ] Available from: https://doi.org/10.3390/proteomes13010006
Trabalho de evento-resumo
Identification of IP3 pathway components in Plasmodium falciparum and P. chabaudi using gene co-expression networks (2025)
Cano, Lyang Higa; Garcia, Celia Regina da Silva; Hashimoto, Ronaldo Fumio
Fonte: Abstracts/Posters. Nome do evento: Brazilian Symposium on Bioinformatics - BSB. Unidades: FCF, IME, Interunidades em Bioinformática
Assuntos: PLASMODIUM, MELATONIN, CA 2+ , IP3 RECEPTOR, GENE CO-EXPRESSION NETWORKS., PLASMODIUM FALCIPARUM, MALÁRIA, MELATONINA, BIOINFORMÁTICA, EXPRESSÃO GÊNICA
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CANO, Lyang Higa e GARCIA, Celia Regina da Silva e HASHIMOTO, Ronaldo Fumio. Identification of IP3 pathway components in Plasmodium falciparum and P. chabaudi using gene co-expression networks. 2025, Anais.. Porto Alegre: SBC, 2025. p. 1-3. Disponível em: http://bsb.sbc.org.br/2025/wp-content/uploads/sites/9/2025/09/Identification-of-IP3-Pathway-Components-in-Plasmodium-falciparum-and-P.-chabaudi-Using-Gene-Co-expression-Networks.pdf. Acesso em: 28 nov. 2025.
APA
Cano, L. H., Garcia, C. R. da S., & Hashimoto, R. F. (2025). Identification of IP3 pathway components in Plasmodium falciparum and P. chabaudi using gene co-expression networks. In Abstracts/Posters (p. 1-3). Porto Alegre: SBC. Recuperado de http://bsb.sbc.org.br/2025/wp-content/uploads/sites/9/2025/09/Identification-of-IP3-Pathway-Components-in-Plasmodium-falciparum-and-P.-chabaudi-Using-Gene-Co-expression-Networks.pdf
NLM
Cano LH, Garcia CR da S, Hashimoto RF. Identification of IP3 pathway components in Plasmodium falciparum and P. chabaudi using gene co-expression networks [Internet]. Abstracts/Posters. 2025 ; 1-3.[citado 2025 nov. 28 ] Available from: http://bsb.sbc.org.br/2025/wp-content/uploads/sites/9/2025/09/Identification-of-IP3-Pathway-Components-in-Plasmodium-falciparum-and-P.-chabaudi-Using-Gene-Co-expression-Networks.pdf
Vancouver
Cano LH, Garcia CR da S, Hashimoto RF. Identification of IP3 pathway components in Plasmodium falciparum and P. chabaudi using gene co-expression networks [Internet]. Abstracts/Posters. 2025 ; 1-3.[citado 2025 nov. 28 ] Available from: http://bsb.sbc.org.br/2025/wp-content/uploads/sites/9/2025/09/Identification-of-IP3-Pathway-Components-in-Plasmodium-falciparum-and-P.-chabaudi-Using-Gene-Co-expression-Networks.pdf
Artigo de periodico
LncRNA PTENP1/miR-21/PTEN axis modulates EMT and drug resistance in cancer: dynamic Boolean modeling for cell Fates in DNA damage response (2024)
Gupta, Shantanu ; Silveira, Daner Acunha ; Lorenzoni, Pedro R. ; Mombach, Jose Carlos M. ; Hashimoto, Ronaldo Fumio
Fonte: International Journal of Molecular Sciences. Unidade: IME
Assuntos: MEDICAMENTO, RNA, GEOMETRIA E MODELAGEM COMPUTACIONAL, NEOPLASIAS, BIOINFORMÁTICA
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ABNT
GUPTA, Shantanu et al. LncRNA PTENP1/miR-21/PTEN axis modulates EMT and drug resistance in cancer: dynamic Boolean modeling for cell Fates in DNA damage response. International Journal of Molecular Sciences, v. 25, n. artigo 8264, p. 1-17, 2024Tradução . . Disponível em: https://doi.org/10.3390/ijms25158264. Acesso em: 28 nov. 2025.
APA
Gupta, S., Silveira, D. A., Lorenzoni, P. R., Mombach, J. C. M., & Hashimoto, R. F. (2024). LncRNA PTENP1/miR-21/PTEN axis modulates EMT and drug resistance in cancer: dynamic Boolean modeling for cell Fates in DNA damage response. International Journal of Molecular Sciences, 25( artigo 8264), 1-17. doi:10.3390/ijms25158264
NLM
Gupta S, Silveira DA, Lorenzoni PR, Mombach JCM, Hashimoto RF. LncRNA PTENP1/miR-21/PTEN axis modulates EMT and drug resistance in cancer: dynamic Boolean modeling for cell Fates in DNA damage response [Internet]. International Journal of Molecular Sciences. 2024 ; 25( artigo 8264): 1-17.[citado 2025 nov. 28 ] Available from: https://doi.org/10.3390/ijms25158264
Vancouver
Gupta S, Silveira DA, Lorenzoni PR, Mombach JCM, Hashimoto RF. LncRNA PTENP1/miR-21/PTEN axis modulates EMT and drug resistance in cancer: dynamic Boolean modeling for cell Fates in DNA damage response [Internet]. International Journal of Molecular Sciences. 2024 ; 25( artigo 8264): 1-17.[citado 2025 nov. 28 ] Available from: https://doi.org/10.3390/ijms25158264
Trabalho de evento
Biological sequence analysis using complex networks and entropy maximization: a case study in SARS-CoV-2 (2023)
Pimenta-Zanon, Matheus H. ; de Souza, Vinicius Augusto; Hashimoto, Ronaldo Fumio ; Lopes, Fabricio Martins
Fonte: Ambient intelligence in health care : proceedings. Nome do evento: International Conference on Ambient Intelligence in Health Care - ICAIHC. Unidade: IME
Assuntos: REDES COMPLEXAS, ENTROPIA, COVID-19, ANÁLISE SEQUENCIAL, BIOINFORMÁTICA, RECONHECIMENTO DE PADRÕES
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ABNT
PIMENTA-ZANON, Matheus H. et al. Biological sequence analysis using complex networks and entropy maximization: a case study in SARS-CoV-2. 2023, Anais.. Heidelberg: Springer, 2023. Disponível em: https://doi.org/10.1007/978-981-19-6068-0_44. Acesso em: 28 nov. 2025.
APA
Pimenta-Zanon, M. H., de Souza, V. A., Hashimoto, R. F., & Lopes, F. M. (2023). Biological sequence analysis using complex networks and entropy maximization: a case study in SARS-CoV-2. In Ambient intelligence in health care : proceedings. Heidelberg: Springer. doi:10.1007/978-981-19-6068-0_44
NLM
Pimenta-Zanon MH, de Souza VA, Hashimoto RF, Lopes FM. Biological sequence analysis using complex networks and entropy maximization: a case study in SARS-CoV-2 [Internet]. Ambient intelligence in health care : proceedings. 2023 ;[citado 2025 nov. 28 ] Available from: https://doi.org/10.1007/978-981-19-6068-0_44
Vancouver
Pimenta-Zanon MH, de Souza VA, Hashimoto RF, Lopes FM. Biological sequence analysis using complex networks and entropy maximization: a case study in SARS-CoV-2 [Internet]. Ambient intelligence in health care : proceedings. 2023 ;[citado 2025 nov. 28 ] Available from: https://doi.org/10.1007/978-981-19-6068-0_44
Artigo de periodico
SARS‑CoV‑2 host prediction based on virus‑host genetic features (2022)
Kawashima, Irina Yuri ; Lopez, Maria Claudia Negret ; Cunha, Marielton dos Passos ; Hashimoto, Ronaldo Fumio
Fonte: Scientific Reports. Unidades: IME, Interunidades em Bioinformática
Assuntos: GEOMETRIA E MODELAGEM COMPUTACIONAL, BIOINFORMÁTICA
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ABNT
KAWASHIMA, Irina Yuri 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: 28 nov. 2025.
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 2025 nov. 28 ] 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 2025 nov. 28 ] Available from: https://doi.org/10.1038/s41598-022-08350-6
Artigo de periodico
A Boolean model of the proliferative role of the lncRNA XIST in non-small cell lung cancer cells (2022)
Gupta, Shantanu ; Silveira, Daner Acunha ; Hashimoto, Ronaldo Fumio ; Mombach, Jose Carlos M.
Fonte: Biology. Unidade: IME
Assuntos: GEOMETRIA E MODELAGEM COMPUTACIONAL, BIOINFORMÁTICA
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ABNT
GUPTA, Shantanu et al. A Boolean model of the proliferative role of the lncRNA XIST in non-small cell lung cancer cells. Biology, v. 11, n. artigo 480, p. 1-14, 2022Tradução . . Disponível em: https://doi.org/10.3390/biology11040480. Acesso em: 28 nov. 2025.
APA
Gupta, S., Silveira, D. A., Hashimoto, R. F., & Mombach, J. C. M. (2022). A Boolean model of the proliferative role of the lncRNA XIST in non-small cell lung cancer cells. Biology, 11( artigo 480), 1-14. doi:10.3390/biology11040480
NLM
Gupta S, Silveira DA, Hashimoto RF, Mombach JCM. A Boolean model of the proliferative role of the lncRNA XIST in non-small cell lung cancer cells [Internet]. Biology. 2022 ; 11( artigo 480): 1-14.[citado 2025 nov. 28 ] Available from: https://doi.org/10.3390/biology11040480
Vancouver
Gupta S, Silveira DA, Hashimoto RF, Mombach JCM. A Boolean model of the proliferative role of the lncRNA XIST in non-small cell lung cancer cells [Internet]. Biology. 2022 ; 11( artigo 480): 1-14.[citado 2025 nov. 28 ] Available from: https://doi.org/10.3390/biology11040480
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: 28 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. 28 ] 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. 28 ] 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: 28 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. 28 ] 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. 28 ] Available from: https://doi.org/10.1007/s13721-015-0104-3
Artigo de periodico
Entropic Biological Score: a cell cycle investigation for GRN inference (2014)
Lopes, Fabrício Martins; Ray, Shubhra Sankar; Hashimoto, Ronaldo Fumio ; César Júnior, Roberto Marcondes
Fonte: Gene. Unidade: IME
Assuntos: BIOINFORMÁTICA, EXPRESSÃO GÊNICA, REGULAÇÃO GÊNICA
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ABNT
LOPES, Fabrício Martins et al. Entropic Biological Score: a cell cycle investigation for GRN inference. Gene, v. 541, n. 2, p. 129\2013137, 2014Tradução . . Disponível em: https://doi.org/10.1016/j.gene.2014.03.010. Acesso em: 28 nov. 2025.
APA
Lopes, F. M., Ray, S. S., Hashimoto, R. F., & César Júnior, R. M. (2014). Entropic Biological Score: a cell cycle investigation for GRN inference. Gene, 541( 2), 129\2013137. doi:10.1016/j.gene.2014.03.010
NLM
Lopes FM, Ray SS, Hashimoto RF, César Júnior RM. Entropic Biological Score: a cell cycle investigation for GRN inference [Internet]. Gene. 2014 ; 541( 2): 129\2013137.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.gene.2014.03.010
Vancouver
Lopes FM, Ray SS, Hashimoto RF, César Júnior RM. Entropic Biological Score: a cell cycle investigation for GRN inference [Internet]. Gene. 2014 ; 541( 2): 129\2013137.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.gene.2014.03.010
Artigo de periodico
Intrinsically multivariate predictive genes (2008)
Martins Júnior, David Correa; Braga-Neto, Ulisses de M.; Hashimoto, Ronaldo Fumio ; Bittner, Michael L.; Dougherty, Edward R.
Fonte: IEEE Journal of Selected Topics in Signal Processing. Unidade: IME
Assuntos: COMPUTAÇÃO GRÁFICA, GENES, BIOINFORMÁTICA
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ABNT
MARTINS JÚNIOR, David Correa et al. Intrinsically multivariate predictive genes. IEEE Journal of Selected Topics in Signal Processing, v. 2, n. 3, p. 424-439, 2008Tradução . . Disponível em: https://doi.org/10.1109/JSTSP.2008.923841. Acesso em: 28 nov. 2025.
APA
Martins Júnior, D. C., Braga-Neto, U. de M., Hashimoto, R. F., Bittner, M. L., & Dougherty, E. R. (2008). Intrinsically multivariate predictive genes. IEEE Journal of Selected Topics in Signal Processing, 2( 3), 424-439. doi:10.1109/JSTSP.2008.923841
NLM
Martins Júnior DC, Braga-Neto U de M, Hashimoto RF, Bittner ML, Dougherty ER. Intrinsically multivariate predictive genes [Internet]. IEEE Journal of Selected Topics in Signal Processing. 2008 ; 2( 3): 424-439.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1109/JSTSP.2008.923841
Vancouver
Martins Júnior DC, Braga-Neto U de M, Hashimoto RF, Bittner ML, Dougherty ER. Intrinsically multivariate predictive genes [Internet]. IEEE Journal of Selected Topics in Signal Processing. 2008 ; 2( 3): 424-439.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1109/JSTSP.2008.923841
Artigo de periodico
Is cross-validation better than resubstitution for ranking genes? (2004)
Braga-Neto, Ulisses; Hashimoto, Ronaldo Fumio ; Dougherty, Edward R.; Nguyen, Danh V.; Carroll, Raymond J.
Fonte: Bioinformatics. Unidade: IME
Assunto: BIOINFORMÁTICA
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ABNT
BRAGA-NETO, Ulisses et al. Is cross-validation better than resubstitution for ranking genes?. Bioinformatics, v. 20, n. 2, p. 253-258, 2004Tradução . . Disponível em: https://doi.org/10.1093/bioinformatics/btg399. Acesso em: 28 nov. 2025.
APA
Braga-Neto, U., Hashimoto, R. F., Dougherty, E. R., Nguyen, D. V., & Carroll, R. J. (2004). Is cross-validation better than resubstitution for ranking genes? Bioinformatics, 20( 2), 253-258. doi:10.1093/bioinformatics/btg399
NLM
Braga-Neto U, Hashimoto RF, Dougherty ER, Nguyen DV, Carroll RJ. Is cross-validation better than resubstitution for ranking genes? [Internet]. Bioinformatics. 2004 ; 20( 2): 253-258.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1093/bioinformatics/btg399
Vancouver
Braga-Neto U, Hashimoto RF, Dougherty ER, Nguyen DV, Carroll RJ. Is cross-validation better than resubstitution for ranking genes? [Internet]. Bioinformatics. 2004 ; 20( 2): 253-258.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1093/bioinformatics/btg399
Artigo de periodico
Growing genetic regulatory networks from seed genes (2004)
Hashimoto, Ronaldo Fumio ; Kim, Seungchan; Shumulevich, Ilya; Zhang, Wei; Bittner, Michael L; Dougherty, Edward R
Fonte: Bioinformatics. Unidade: IME
Assuntos: BIOINFORMÁTICA, COMBINATÓRIA
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ABNT
HASHIMOTO, Ronaldo Fumio et al. Growing genetic regulatory networks from seed genes. Bioinformatics, v. 20, n. 8, p. 1241-1247, 2004Tradução . . Disponível em: https://doi.org/10.1093/bioinformatics/bth074. Acesso em: 28 nov. 2025.
APA
Hashimoto, R. F., Kim, S., Shumulevich, I., Zhang, W., Bittner, M. L., & Dougherty, E. R. (2004). Growing genetic regulatory networks from seed genes. Bioinformatics, 20( 8), 1241-1247. doi:10.1093/bioinformatics/bth074
NLM
Hashimoto RF, Kim S, Shumulevich I, Zhang W, Bittner ML, Dougherty ER. Growing genetic regulatory networks from seed genes [Internet]. Bioinformatics. 2004 ; 20( 8): 1241-1247.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1093/bioinformatics/bth074
Vancouver
Hashimoto RF, Kim S, Shumulevich I, Zhang W, Bittner ML, Dougherty ER. Growing genetic regulatory networks from seed genes [Internet]. Bioinformatics. 2004 ; 20( 8): 1241-1247.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1093/bioinformatics/bth074

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