Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Motivation: Biological experiments give insight into networks of processes inside a cell, but are subject to error and uncertainty. Hover, due to the overlap beten the large number of experiments reported in public databases it is possible to assess the chances of individual observations being correct. In order to do so, existing methods rely on high-quality ‘gold standard’ reference networks, but such reference networks are not always available.#R##N##R##N#Results:  present a novel algorithm for computing the probability of network interactions that operates without gold standard reference data.  show that our algorithm outperforms existing gold standard-based methods. Finally,  apply the new algorithm to a large collection of genetic interaction and protein–protein interaction experiments.#R##N##R##N#Availability: The integrated dataset and a reference implementation of the algorithm as a plug-in for the Ondex data integration framework are available for download at http://bio-nexus.ncl.ac.uk/projects/nogold/#R##N##R##N#Contact: darren.wilkinson@ncl.ac.uk#R##N##R##N#Supplementary information:Supplementary data are available at Bioinformatics online.
['Jochen Weile', 'Katherine James', 'Jennifer Hallinan', 'Simon J. Cockell', 'Phillip Lord', 'Anil Wipat', 'Darren J. Wilkinson']
I am writing a research paper on a idea Bayesian integration of networks without gold standards
[{"from": "human", "value": "I am writing a research paper on a idea Bayesian integration of networks without gold standards"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Motivation: Biological experiments give insight into networks of processes inside a cell, but are subject to error and uncertainty. Hover, due to the overlap beten the large number of experiments reported in public databases it is possible to assess the chances of individual observations being correct. In order to do so, existing methods rely on high-quality \u2018gold standard\u2019 reference networks, but such reference networks are not always available.#R##N##R##N#Results:  present a novel algorithm for computing the probability of network interactions that operates without gold standard reference data.  show that our algorithm outperforms existing gold standard-based methods. Finally,  apply the new algorithm to a large collection of genetic interaction and protein\u2013protein interaction experiments.#R##N##R##N#Availability: The integrated dataset and a reference implementation of the algorithm as a plug-in for the Ondex data integration framework are available for download at http://bio-nexus.ncl.ac.uk/projects/nogold/#R##N##R##N#Contact: darren.wilkinson@ncl.ac.uk#R##N##R##N#Supplementary information:Supplementary data are available at Bioinformatics online."}]