Shortest paths ranking methodology to identify alterations in PPI networks of complex diseases (2012)
- Authors:
- USP affiliated authors: BRENTANI, HELENA PAULA - FM ; HASHIMOTO, RONALDO FUMIO - IME
- Unidades: FM; IME
- DOI: 10.1145/2382936.2383021
- Assunto: BIOINFORMÁTICA
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Proceedings
- Conference titles: ACM Conference on Bioinformatics, Computational Biology and Biomedicine - BCB '12
- Status:
- Nenhuma versão em acesso aberto identificada
-
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: 02 abr. 2026. -
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 2026 abr. 02 ] 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 2026 abr. 02 ] Available from: https://doi.org/10.1145/2382936.2383021 - Identifying dense subgraphs in protein–protein interaction network for gene selection from microarray data
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