A PROBABILISTIC MODEL FOR DETECTING CODING REGIONS IN DNA-SEQUENCES

被引：0
作者：
THOMAS, A
SKOLNICK, MH
机构：
[1] MYRIAD GENET,SALT LAKE CITY,UT 84108
[2] DEPT MED INFORMAT,SALT LAKE CITY,UT 84108
来源：
IMA JOURNAL OF MATHEMATICS APPLIED IN MEDICINE AND BIOLOGY | 1994年 / 11卷 / 03期
关键词：
EXON RECOGNITION; DNA; SEQUENCE ANALYSIS;
D O I：
暂无
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
A probabilistic model is presented to predict whether or not an anonymous sequence of DNA contains exons. The method is shown to be at least as reliable as Grail, a well-known neural network solution to the problem, and to be significantly more amenable to customization for specific prediction problems.
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页码：149 / 160
页数：12
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