DocumentCode :
554162
Title :
The improved AMDF gene exon prediction
Author :
Xueying Zhang ; Qiang Li ; Xin Guan
Author_Institution :
Sch. of Electron. & Inf. Eng., Tianjin Univ., Tianjin, China
Volume :
3
fYear :
2011
fDate :
26-28 July 2011
Firstpage :
1691
Lastpage :
1695
Abstract :
In order to improve the predictive accuracy and save the computation time, the improved average magnitude difference function (AMDF) is proposed in the paper. The AMDF was widely used to detect the gene exon as a time domain algorithm. In the paper the improved average magnitude difference function (AMDF) method-the sum of magnitude difference square function (SMDSF), which was proposed in the music signal processing, are firstly utilized in the gene detection. The predictive accuracy of the coding regions has increased 10% and 2% respectively for two different sequences and 5% as the statistical result for the GENESCAN database at a 10% false positive rate. SMDSF not only increases significantly in all kinds of performance index but also shorten the running time.
Keywords :
DNA; biology computing; genomics; signal processing; time-domain analysis; AMDF gene exon prediction; GENESCAN database; average magnitude difference function method; gene exon detection; sum of magnitude difference square function; time domain algorithm; Accuracy; Bioinformatics; DNA; Discrete Fourier transforms; Encoding; Feature extraction; Genomics; AMDF; CAMDF; DFT; DNA sequence; SMDSF; period-3 behavior;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation (ICNC), 2011 Seventh International Conference on
Conference_Location :
Shanghai
ISSN :
2157-9555
Print_ISBN :
978-1-4244-9950-2
Type :
conf
DOI :
10.1109/ICNC.2011.6022375
Filename :
6022375
Link To Document :
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