Protein Feature Prediction Using Chi-Square in PPI Networks
نویسندگان
چکیده
PPI(Protein-Protein Interaction) networks are defined as the set of relationships among proteins. PPI data of the networks are very important, because they are used in predicting feature of unknown proteins. The prediction using PPI data has more reliability than other methods such as sequence or homology[1,3]. The significance of protein feature prediction is increasing more and more because they are effectively used in the high value-added bio-business field like new drug discovery. Picking out candidate proteins has to proceed for the purpose of reducing enormous expenses in biological experiments like new drug discovery. For predicting feature of unknown proteins, we normalized Gene Ontology(GO)[5] terms and used Chi-square algorithm as a statistic method.
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