Research on the Prediction of Protein Functional Sites Based on the Dimension Reduction Algorithm

Abstract

Knowing the ProteinRNA interactions often provides useful clues for finding its biological function in a biological system. Dimension reduction method is one of most famous machine learning tools. Some researchers have begun to explore dimension reduction method for computer vision problems. Few such attempts have been made for classification of high-dimensional protein data sets. Here, dimensionality reduction algorithm is introduced to predict the protein-RNA interaction sites. Our jackknife test results indicate that it is very promising to use the dimensionality reduction approaches to cope with complicated problems in biological systems, such as predicting the protein-RNA interaction sites.