The Influence of Sequence Identity to RNA-binding protein prediction

School of Physics,Huazhong University of Science and Technology

Abstract： RNA-binding proteins play important roles in various cellular processes, which results in the appearance of some methods for RNA-binding protein prediction. The proportion of positive and negative samples and sequence identity between them are need to be considered and weighed in the prediction methods. In this article, we discussed the impact of sequence identity to the performance of prediction on balanced and unbalanced testing sets. Testing on the balanced and unbalanced testing sets with sequence identity cutoff of 35%, 30%, 25%, 20%, 15%, 10% and 5% respectively, our method achieved almost the same performance of area under the receiver operating characteristic（ROC）curve.

Keywords： bioinformatics RNA-binding protein sequence identity