Swarnkar, Tripti; Simões, Sérgio Nery; Anura, Anji; Brentani, Helena; Chatterjee, Jyotirmoy; Hashimoto, Ronaldo Fumio 
; Martins, David Correa; Mitra, Pabitra
Source: Network Modeling Analysis in Health Informatics and Bioinformatics. Unidades: FM, IME
Subjects: COMPUTAÇÃO GRÁFICA, BIOINFORMÁTICA
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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: 12 jul. 2024.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/s13721-015-0104-3NLM
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 2024 jul. 12 ] Available from: https://doi.org/10.1007/s13721-015-0104-3Vancouver
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 2024 jul. 12 ] Available from: https://doi.org/10.1007/s13721-015-0104-3
