Aleksandrov N N, Mironov A A
Mol Biol (Mosk). 1987 Jan-Feb;21(1):242-9.
The perceptron algorithm has been applied for E. coli promotors searching. To choose the appropriate promoter signs the statistical analysis was performed. By the modified perceptron method a vector, which exactly divides promoters and non-promotors in the learning sequences and gives nearly the same results as the statistical vector, has been obtained. By using this vector two potential promotors have been found at the phoE-proB chromosome region.
感知器算法已应用于大肠杆菌启动子搜索。为选择合适的启动子信号进行了统计分析。通过改进的感知器方法,得到了一个能在学习序列中准确区分启动子和非启动子的向量,且该向量给出的结果与统计向量几乎相同。利用这个向量,在phoE-proB染色体区域发现了两个潜在的启动子。