DocumentCode
498263
Title
A Novel Promoter Prediction Method Inspiring by Biological Immune Principles
Author
Ya-Jing Zhang
Author_Institution
Inst. of Comput., Yantai Univ., Yantai, China
Volume
1
fYear
2009
fDate
19-21 May 2009
Firstpage
569
Lastpage
573
Abstract
We present an immune recognition algorithm for improving the performance of promoter regions prediction in this paper. We focus on generation of immune detectors by using negative selection operator and clone selection operator. Subsequently, the detectors are evolved. The results of testing on large genomic sequences by comparisons show that our algorithm is efficient with higher sensitivity and specificity in predicting promoter regions.
Keywords
genetics; pattern recognition; prediction theory; biological immune principles; clone selection operator; genomic sequences; immune detectors; immune recognition algorithm; negative selection operator; promoter prediction method; Bioinformatics; Cloning; Detectors; Evolution (biology); Genetic mutations; Genomics; Immune system; Pathogens; Prediction methods; Sequences; Biological immune; Niching strategy; Promoter prediction; iImmune recognition algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems, 2009. GCIS '09. WRI Global Congress on
Conference_Location
Xiamen
Print_ISBN
978-0-7695-3571-5
Type
conf
DOI
10.1109/GCIS.2009.369
Filename
5209061
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