Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  consider the problem of reconstructing a maximally parsimonious history of network evolution under models that support gene duplication and loss and independent interaction gain and loss.  introduce a combinatorial framework for encoding network histories, and  give a fast procedure that, given a set of duplication histories, in practice finds network histories with close to the minimum number of interaction gain or loss events. In contrast to previous studies, our method does not require knowing the relative ordering of unrelated duplication events. Results on simulated histories suggest that common ancestral networks can be accurately reconstructed using this parsimony approach.
['Robert Patro', 'Emre Sefer', 'Justin Malin', 'Guillaume Marçais', 'Saket Navlakha', 'Carl Kingsford']
I am writing a research paper on a idea Parsimonious reconstruction of network evolution
[{"from": "human", "value": "I am writing a research paper on a idea Parsimonious reconstruction of network evolution"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  consider the problem of reconstructing a maximally parsimonious history of network evolution under models that support gene duplication and loss and independent interaction gain and loss.  introduce a combinatorial framework for encoding network histories, and  give a fast procedure that, given a set of duplication histories, in practice finds network histories with close to the minimum number of interaction gain or loss events. In contrast to previous studies, our method does not require knowing the relative ordering of unrelated duplication events. Results on simulated histories suggest that common ancestral networks can be accurately reconstructed using this parsimony approach."}]