Proteomic Network Modeling

Cross-source consensus on Proteomic Network Modeling from 1 sources and 4 claims.

1 sources · 4 claims

How it works

In the network representation, nodes correspond to proteins. — An Analytical Approach for Insulin-like Growth Factor Receptor 1 and Mammalian Target of Rapamycin Blockades in Ewing Sarcoma
In the network representation, edges correspond to known physical interactions. — An Analytical Approach for Insulin-like Growth Factor Receptor 1 and Mammalian Target of Rapamycin Blockades in Ewing Sarcoma
Network edge weights represent correlation-based interaction strength across samples. — An Analytical Approach for Insulin-like Growth Factor Receptor 1 and Mammalian Target of Rapamycin Blockades in Ewing Sarcoma
The study treats proteomic expression data as weighted biological networks instead of isolated protein-protein interactions. — An Analytical Approach for Insulin-like Growth Factor Receptor 1 and Mammalian Target of Rapamycin Blockades in Ewing Sarcoma