Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Identifying genes that are associated with two or more diseases can shed lights on understanding the pathobiological mechanisms of these diseases. In this work  present a novel method to predict missing common genes for disease pairs. The method formulates searching for missing common genes as an optimization problem to minimize a network based module separation beten two subgraphs formed by mapping the disease associated genes onto the interactome. Tested on a dataset of more than 600 disease pairs using cross-validation, it is shown that the method achieves an average ROC score of 0.95.
['Pakeeza Akram', 'Li Liao']
I am writing a research paper on a idea Prediction of missing common genes for disease pairs using network based module separation
[{"from": "human", "value": "I am writing a research paper on a idea Prediction of missing common genes for disease pairs using network based module separation"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Identifying genes that are associated with two or more diseases can shed lights on understanding the pathobiological mechanisms of these diseases. In this work  present a novel method to predict missing common genes for disease pairs. The method formulates searching for missing common genes as an optimization problem to minimize a network based module separation beten two subgraphs formed by mapping the disease associated genes onto the interactome. Tested on a dataset of more than 600 disease pairs using cross-validation, it is shown that the method achieves an average ROC score of 0.95."}]