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重复微阵列时间进程数据的多元经验贝叶斯统计量AI 解读

In this paper we derive one- and two-sample multivariate empirical Bayes statistics (the MB-statistics) to rank genes in order of interest from longitudinal replicated developmental microarray time course experiments. We first use conjugate priors to develop our one-sample multivariate empirical Bayes framework for the null hypothesis that the expected temporal profile stays at 0. This leads to our one-sample MB-statistic and a one-sample T̃2-statistic, a variant of the…

实验杂交中数量性状基因座识别的模型选择方法AI 解读

Summary We consider the problem of identifying the genetic loci (called quantitative trait loci (QTLs)) contributing to variation in a quantitative trait, with data on an experimental cross. A large number of different statistical approaches to this problem have been described; most make use of multiple tests of hypotheses, and many consider models allowing only a single QTL. We feel that the problem is best viewed as one of model selection. We discuss the use of model…

正脉冲序列的参数反卷积AI 解读

This paper describes a parametric deconvolution method (PDPS) appropriate for a particular class of signals which we call spike-convolution models. These models arise when a sparse spike train —Dirac deltas according to our mathematical treatment —is convolved with a fixed point-spread function, and additive noise or measurement error is superimposed.We view deconvolution as an estimation problem, regarding the locations and heights of the underlying spikes, as well as the…