Translational Efficiency Prediction Using Structural Learning Method
نویسندگان
چکیده
It has been shown that sequence patterns including Shine-Dalgarno sequences, start codons and those in between have effect on translational efficiencies. However relationships between these patterns and translational efficiencies are complicated and sophisticated method are required for the modeling. In this work, we constructed a model to predict translational efficiencies of genes based on sequence patterns around translation initiation sites, using machine learning technique.
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تاریخ انتشار 2003