Predicting Protein Subcellular Location Based on Improved Quadratic Discriminant
The location of a protein in a cell is closely correlated with its biological function. With the number of sequences entering into databanks rapidly increasing, it is highly desirable to predict a protein subcellular localization from its amino acid sequence. Here, a novel method is presented for the prediction of mouse protein subcellular location from sequence by using the increment of diversity combined with the improved quadratic discriminant analysis. The higher predictive success rates are obtained by the self-consistency test and the jackknife test. Our prediction results show that the improved quadratic discriminant analysis is very powerful to predict subcellular location of protein.
subcellular location amino acid increment of diversity quadratic discriminant
Fengmin Li Huanmin Zhou
College of Sciences Inner Mongolia Agricultural University Hohhot, 010018, China College of Life Sciences Inner Mongolia Agricultural University Hohhot, 010018, China
国际会议
上海
英文
2002-2005
2011-10-15（万方平台首次上网日期，不代表论文的发表时间）