Community-Reviewed Biological Network Models for Toxicology and Drug Discovery Applications

Biological network models offer a framework for understanding disease by describing the relationships between the mechanisms involved in the regulation of biological processes. Crowdsourcing can efficiently gather feedback from a wide audience with varying expertise. In the Network Verification Chal...

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Detalles Bibliográficos
Autores principales: Namasivayam, Aishwarya Alex, Morales, Alejandro Ferreiro, Lacave, Ángela María Fajardo, Tallam, Aravind, Simovic, Borislav, Alfaro, David Garrido, Bobbili, Dheeraj Reddy, Martin, Florian, Androsova, Ganna, Shvydchenko, Irina, Park, Jennifer, Calvo, Jorge Val, Hoeng, Julia, Peitsch, Manuel C., Racero, Manuel González Vélez, Biryukov, Maria, Talikka, Marja, Pérez, Modesto Berraquero, Rohatgi, Neha, Díaz-Díaz, Noberto, Mandarapu, Rajesh, Ruiz, Rubén Amián, Davidyan, Sergey, Narayanasamy, Shaman, Boué, Stéphanie, Guryanova, Svetlana, Arbas, Susana Martínez, Menon, Swapna, Xiang, Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Libertas Academica 2016
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4944831/
https://www.ncbi.nlm.nih.gov/pubmed/27429547
http://dx.doi.org/10.4137/GRSB.S39076

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4944831/
https://www.ncbi.nlm.nih.gov/pubmed/27429547
http://dx.doi.org/10.4137/GRSB.S39076

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