Title :
Predicting Protein Function Based on Genomic Data Mining
Author :
Song, Chang-xin ; Wu, Xiaoming ; Wang, Bo ; Cheng, Jingzhi
Author_Institution :
Key Lab. of Biomed. Inf. Eng., Xi´´an Jiaotong Univ., Xi´´an
Abstract :
In this study, we investigated a number of data analysis methods to discover useful genomic data for predicting protein function. Such methods is data mining prediction (DMP). DMP is based on a combination of evidence from the attributes of amino acid, its predicted structure, and its phylogenic patterns. DMP is, to the best of our knowledge, the first non-SIM based prediction method to have been tested directly on new data.
Keywords :
bioinformatics; data analysis; data mining; genomics; molecular biophysics; proteins; amino acid attribute; amino acid structure prediction; bioinformatics; data analysis method; data mining prediction; genomic data discovery; genomic data mining; nonSIM based prediction method; phylogenic pattern; protein function prediction; Accuracy; Biochemistry; Bioinformatics; Data engineering; Data mining; Databases; Genomics; Protein engineering; Testing; Voting; Data Mining; Predict; Protein Function;
Conference_Titel :
Advanced Computer Theory and Engineering, 2008. ICACTE '08. International Conference on
Conference_Location :
Phuket
Print_ISBN :
978-0-7695-3489-3
DOI :
10.1109/ICACTE.2008.176
