Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Background#R##N#High throughput techniques produce multiple functional association networks. Integrating these networks can enhance the accuracy of protein function prediction. Many algorithms have been introduced to generate a composite network, which is obtained as a ighted sum of individual networks. The ight assigned to an individual network reflects its benefit towards the protein functional annotation inference. A classifier is then trained on the composite network for predicting protein functions. Hover, since these techniques model the optimization of the composite network and the prediction tasks as separate objectives, the resulting composite network is not necessarily optimal for the follow-up protein function prediction.
['Guoxian Yu', 'Hailong Zhu', 'Carlotta Domeniconi', 'Maozu Guo']
I am writing a research paper on a idea Integrating multiple networks for protein function prediction
[{"from": "human", "value": "I am writing a research paper on a idea Integrating multiple networks for protein function prediction"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Background#R##N#High throughput techniques produce multiple functional association networks. Integrating these networks can enhance the accuracy of protein function prediction. Many algorithms have been introduced to generate a composite network, which is obtained as a ighted sum of individual networks. The ight assigned to an individual network reflects its benefit towards the protein functional annotation inference. A classifier is then trained on the composite network for predicting protein functions. Hover, since these techniques model the optimization of the composite network and the prediction tasks as separate objectives, the resulting composite network is not necessarily optimal for the follow-up protein function prediction."}]