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Use of the 'Perceptron' Algorithm to Distinguish Translational Initiation Sites in E. Coli

Overview
Specialty Biochemistry
Date 1982 May 11
PMID 7048259
Citations 264
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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.

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