Identifying dense subgraphs in protein–protein interaction network for gene selection from microarray data (2015)
- Authors:
- USP affiliated authors: BRENTANI, HELENA PAULA - FM ; HASHIMOTO, RONALDO FUMIO - IME
- Unidades: FM; IME
- DOI: 10.1007/s13721-015-0104-3
- Subjects: COMPUTAÇÃO GRÁFICA; BIOINFORMÁTICA
- Keywords: gene selection; dense subgraphs; gene interaction networks; protein–protein interaction networks; microarray
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Heidelberg
- Date published: 2015
- Source:
- Título: Network Modeling Analysis in Health Informatics and Bioinformatics
- ISSN: 2192-6662
- Volume/Número/Paginação/Ano: v. 4, n. 1, p. 1-18, 2015
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
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: 03 dez. 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 dez. 03 ] 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 dez. 03 ] Available from: https://doi.org/10.1007/s13721-015-0104-3 - Shortest paths ranking methodology to identify alterations in PPI networks of complex diseases
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Informações sobre o DOI: 10.1007/s13721-015-0104-3 (Fonte: oaDOI API)
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