吉林大学学报(工学版) ›› 2016, Vol. 46 ›› Issue (5): 1639-1643.doi: 10.13229/j.cnki.jdxbgxb201605038

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Fourier analysis model for housekeeping gene

MA Zhi-xing1,2, ZHAO Qi3, ZHANG Hao3   

  1. 1.School of Management Science and Information Engineering, Jilin University of Finance and Economics, Changchun 130117, China;
    2.Jilin Province Key Laboratory of Internet Finance, Jilin University of Finance and Economics, Changchun 130117, China;
    3.College of Computer Science and Technology, Jilin University, Changchun 130012, China
  • Received:2015-03-13 Online:2016-09-20 Published:2016-09-20

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Abstract: A group of time series data of Hela cells is transformed to Fourier spectrum by Fourier analysis. A support vector machine based monitoring learning algorithm is proposed. This algorithm is applied to pick out the Housekeeping IncRNAs from the Fourier spectrum, which can extract important features of the system, providing a basis for identifying the specific RNAs expression patterns. Using the above method 510 human Housekeeping genes are confirmed, which are then identified by comparison with two standard sets of human tissue specific expression profiles. Results show that the proposed method can give more reliable Housekeeping IncRNAs than three existing identifying methods.

Key words: computer application, housekeeping gene, support vector machine(SVM), prediction model

CLC Number: 

  • TP39
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