使用“感知器”算法区分大肠杆菌中的翻译起始位点。
Use of the 'Perceptron' algorithm to distinguish translational initiation sites in E. coli.
作者信息
Stormo G D, Schneider T D, Gold L, Ehrenfeucht A
出版信息
Nucleic Acids Res. 1982 May 11;10(9):2997-3011. doi: 10.1093/nar/10.9.2997.
Abstract
We have used a "Perceptron" algorithm to find a weighting function which distinguishes E. coli translational initiation sites from all other sites in a library of over 78,000 nucleotides of mRNA sequence. The "Perceptron" examined sequences as linear representations. The "Perceptron" is more successful at finding gene beginnings than our previous searches using "rules" (see previous paper). We note that the weighting function can find translational initiation sites within sequences that were not included in the training set.
摘要
我们使用了一种“感知器”算法来寻找一个权重函数，该函数能在一个超过78000个核苷酸的mRNA序列文库中，将大肠杆菌的翻译起始位点与所有其他位点区分开来。“感知器”将序列视为线性表示形式来进行检查。与我们之前使用“规则”进行的搜索相比（见前文），“感知器”在寻找基因起始位点方面更为成功。我们注意到，该权重函数能够在未包含在训练集中的序列内找到翻译起始位点。
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