Title :
Robust Composite Interval Mapping for QTL Analysis by Minimum beta-Divergence Method
Author :
Mollah, Md Nurul Haque ; Eguchi, Shinto
Author_Institution :
Inst. of Stat. Math., Tokyo
Abstract :
Interval mapping (IM) is currently the most popular approach for quantitative trait loci (QTL) analysis in experimental crosses.Composite interval mapping (CIM) is a generalized version of interval mapping. However, the traditional IM and CIM approaches both are sensitive to outliers. This paper discusses a new robust CIM algorithm for QTL mapping in an experimental organisms by minimizing beta-divergence using the EM algorithm. Simulation studies show that the proposed method significantly improves the performance over the traditional CIM method for QTL mapping in presence of outliers; otherwise, it keeps equal performance.
Keywords :
Gaussian distribution; biology computing; genetics; physiological models; EM algorithm; QTL analysis; interval mapping; minimum beta-divergence method; quantitative trait loci; Algorithm design and analysis; Bioinformatics; Computer integrated manufacturing; Frequency; Genetics; Mathematics; Organisms; Robustness; Statistical analysis; Testing; Composite interval mapping (CIM); Gaussian mixture distribution; Quantitative trait loci (QTL);
Conference_Titel :
Bioinformatics and Biomedicine, 2008. BIBM '08. IEEE International Conference on
Conference_Location :
Philadelphia, PA
Print_ISBN :
978-0-7695-3452-7
DOI :
10.1109/BIBM.2008.43
