Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/13569
Title: Simultaneous identificatIon of quantitative trait loci in multiple interval model
Authors: TANG YAN
Keywords: quantitative trait loci mapping;multiple interval mapping;mixture model;maximum likelihood estimate;EM algorithm;forward insertion
Issue Date: 7-Oct-2003
Source: TANG YAN (2003-10-07). Simultaneous identificatIon of quantitative trait loci in multiple interval model. ScholarBank@NUS Repository.
Abstract: Many statistical methods of mapping quantitative trait loci (QTL) have been developed. Focusing on flanking markers, Interval Mapping (IM), Composite Interval Mapping (CIM) and Multiple Interval Mapping (MIM) aim to identify gene effects and positions. In this thesis a new procedure based on the interval mapping is proposed to identify QTL in multiple marker intervals at a time. It involves establishing a normal mixture model, computing the maximum likelihood estimates (MLE) of all parameters simultaneously and detecting the significant QTL. EM algorithm is applied to compute MLE. And a forward insertion procedure is proposed for QTL detection. A simulation study is also presented in the thesis.
URI: http://scholarbank.nus.edu.sg/handle/10635/13569
Appears in Collections:Master's Theses (Open)

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