Prediction of the E.coliK12 Promoter Based on MultiFeature Selection

YANG Wuritu1，LIN Hao2

doi:10.3969/j.issn.1007130X.2010.

Computer Engineering & Science >

2010 , Vol. 32 >Issue 9: 148 - 151

DOI: https://doi.org/10.3969/j.issn.1007130X.2010.

论文

Prediction of the E.coliK12 Promoter Based on MultiFeature Selection

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(1.Graduate Affairs Department,Inner Mongolia University,Hohhot 010021;2.School of Life Science and Technology,University of Electronic Science and Technology of China,Chengdu 610054,China)

Received date: 2010-03-13

Revised date: 2010-06-10

Online published: 2010-09-02

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Abstract

According to the known knowledge of 741 experimentally confirmed Sigma70 promoters, the promoters are predicted. At first, based on the interaction between RNAp and DNA elements, the positioncorrelationscorefunction (PCSF) algorithm is used to measure the conservative sits in promoter sequences. Subsequently, according to the characteristics of promoters, a diversity index is applied to measure the information content in different regions. Finally, the modified Mahalanobis Discriminant is proposed to perform prediction. The overall accuracies of 10fold crossvalidation of 85%+ are achieved. By comparing with other methods, it is shown that the proposed method can recognize the Escherichia coli promoters with high accuracy.

Key words： E.coli promoter;position correlation score function;diversity index;modified mahalanobis discriminant

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YANG Wuritu1，LIN Hao2 . Prediction of the E.coliK12 Promoter Based on MultiFeature Selection[J]. Computer Engineering & Science, 2010 , 32(9) : 148 -151 . DOI: 10.3969/j.issn.1007130X.2010.

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