Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The identification of regulatory motifs underlying gene expression is a challenging problem, particularly in eukaryotes. An algorithm to identify statistically significant discriminative motifs that distinguish beten gene expression clusters is presented. The predictive por of the identified motifs is assessed with a supervised Naive Bayes classifier. An information-theoretic feature selection criterion helps find the most informative motifs. Results on benchmark and real data demonstrate that our algorithm accurately identifies discriminative motifs.  show that the integration of comparative genomics information into the motif finding process significantly improves the discovery of discriminative motifs and overall classification accuracy.
['Jyotsna Kasturi', 'Raj Acharya', 'Ross C. Hardison']
I am writing a research paper on a idea Identifying Conserved Discriminative Motifs
[{"from": "human", "value": "I am writing a research paper on a idea Identifying Conserved Discriminative Motifs"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The identification of regulatory motifs underlying gene expression is a challenging problem, particularly in eukaryotes. An algorithm to identify statistically significant discriminative motifs that distinguish beten gene expression clusters is presented. The predictive por of the identified motifs is assessed with a supervised Naive Bayes classifier. An information-theoretic feature selection criterion helps find the most informative motifs. Results on benchmark and real data demonstrate that our algorithm accurately identifies discriminative motifs.  show that the integration of comparative genomics information into the motif finding process significantly improves the discovery of discriminative motifs and overall classification accuracy."}]