| International Journal of Biometric and Bioinformatics | |
| Detection of Quantitative Trait Loci in Presence of Phenotypic Contamination | |
| Md. Nurul Haque Mollah1  | |
| 关键词: Quantitative trait loci; Gaussian mixture distribution; LOD scores; Likelihood ratio test; Method of maximum B-likelihood; Robustness.; | |
| DOI : | |
| 学科分类:计算机科学(综合) | |
| 来源: Computer Science Journals | |
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【 摘 要 】
Genes controlling a certain trait of organism is known as quantitative trait loci (QTL).The standard Interval mapping (Lander and Botstein, 1989) is a popular way to scan the whole genome forthe evidence of QTLs. It searches a QTLwithin each intervalbetween twoadjacent markers by performinglikelihood ratio test (LRT).However, the standard Interval mapping (SIM) approach is not robust againstoutliers. An attempt is made to robustify SIM for QTL analysis by maximizing $eta$-likelihood function using the EM like algorithm. Weinvestigate the robustness performance of the proposed method in a comparison of SIM algorithmusing synthetic datasets. Experimental results show that the proposed method significantly improves the performance over the SIM approach for QTL mapping in presence of outliers; otherwise, it keepsequal performance.
【 授权许可】
Unknown
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO201912010254923ZK.pdf | 593KB |
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