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数学学院、所系列学术报告(700场):美国肯塔基大学Chi Wang教授

admin 发表于: 2017-06-06 08:49  点击:137
题  目:NanoStringDiff: A Novel Statistical Method for Differential Expression Analysis Based on NanoString nCounter Data
报告人:Chi Wang, University of Kentakey
时  间:6月6日 上午10:00---12:00
地  点:数学楼629
摘要: The advanced medium-throughput NanoString nCounter technology has been increasingly used for mRNA or miRNA differential expression (DE) studies. However, the analysis of nCounter data is hampered because most methods developed are based on t-tests, which do not fit the count data generated by the NanoString nCounter system. Here, we develop a novel DE detection method based on NanoString nCounter data. The method, named NanoStringDiff, considers a generalized linear model of the negative binomial family to characterize count data. Then an empirical Bayes shrinkage approach is used to estimate the dispersion parameter in the model and a likelihood ratio test to identify differentially expressed genes. Simulations and real data analysis have demonstrated that the proposed method outperforms existing methods.