Objective: To extract the relevant SNPs for alcoholism using sib-pair IBD profiles of pedigrees.Methods: We used the ensemble decision approach, a supervised learning approach based on decision forests, to locate alcoholism relevant SNPs using genome-wide SNP data. Results: Application to a publicly available large dataset of 100 simulated replicates for three American populations (http://www.gaworkshop.org/) demonstrates that the proposed approach has successfully located all of the simulated true loci.Conclusion: The numerical results establish the proposed decision forest analysis to be a powerful and practical alternative for large-scale family-based association study.
基因表达调控网络的深入研究有利于分子药物靶标的发现以及推新药的研发,是未来生物医学研究的重要内容。针对基因表达调控的时间延迟问题,我们初步设计开发了一套基于基因表达谱数据识别基因表达时间延迟调控关系的软件ITdGR(Identification of Time-delayed Gene Regulations)。并已经成功地将该软件应用于酿酒酵母细胞周期的基因表达谱数据中,识别出的调控关系与已有的知识相符。该软件为基因调控网络重构以及基因表达动态研究提供了一个方便和快捷的工具。
