Amino Modification of Synthetics Oligonucleotide with Amino-silane Reagent
In an effort to facilitate alternative splicing discovery, methods for facilitating the prediction of various types of alternative splicing have been developed. So far, efficient computational approach has not been developed for the prediction of various types of alternative splicing patterns that occur widely in human genome as well as in other organism. Some of splicing alternative exons, such as alternatively spliced internal type, have some combination of characteristics which make it easy to distinguish from constitutive exons. This work explores the use of EM algorithm, Gibbs sampling and support vector machine (SVM), for alternatively spliced internal Exons prediction. Its prediction accuracy was evaluated by using an independent set of exons and by comparison with results obtained from other commonly used classification method (Logistic regression analysis) using the same dataset. The accuracy of the prediction is 83.6％, which is comparable to the results obtained by other classification method.
EM algorithm Gibbs sampling SVM Alternatively spliced internal Exons
Peng-Feng Xiao Yan-Qiang Li Zhi-Qiang Pan Zu-Hong Lu
State Key Laboratory of Bioelectronics, Southeast University, China, 210096
国际会议
The 5th International Forum on Post-genome Technologies(5IFPT)(第五届国际后基因组生命科学技术学术论坛)
苏州
英文
2007-09-10（万方平台首次上网日期，不代表论文的发表时间）