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