Analysis of Abnormal Splicing by Neural Network


Department of Information Science, Kyoto University of Education
Fukakusa-Fujinomori-cho 1 Fushimi-ku Kyoto JAPAN


We have developed networks with back-propagation learning algorithm for the prediction of splice sites in mRNA precursors. We used these networks to predict the effects of mutations on splicing of protein coding genes. We applied neural networks to beta-thalassemia genes (mutant beta-globin genes), a hemophilia B gene (mutant blood coagulation factor IX gene) and a mutant c-Ha-ras oncogene. We demonstrate that these networks predict abnormal splicing patterns in these genes consistent with experiments.