CRAN . RSTUDIO . COM {
}
Title:
CRAN: Package fmt
Description:
The FMT method computes posterior residual variances to be used in the denominator of a moderated t-statistic from a linear model analysis of gene expression data. It is an extension of the moderated t-statistic originally proposed by Smyth (2004) <<a href="https://doi.org/10.2202%2F1544-6115.1027" target="_top">doi:10.2202/1544-6115.1027</a>>. LOESS local regression and empirical Bayesian method are used to estimate gene specific prior degrees of freedom and prior variance based on average gene intensity levels. The posterior residual variance in the denominator is a weighted average of prior and residual variance and the weights are prior degrees of freedom and residual variance degrees of freedom. The degrees of freedom of the moderated t-statistic is simply the sum of prior and residual variance degrees of freedom.
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Keywords {🔍}
variance, fmt, residual, prior, degrees, freedom, moderated, tstatistic, fmttgz, method, gene, fmtzip, rrelease, roldrel, posterior, denominator, doi, average, lianbo, binaries, arm, estimation, fully, computes, variances, linear, model, analysis, expression, data, extension, originally, proposed, smyth, loess, local, regression, empirical, bayesian, estimate, specific, based, intensity, levels, weighted, weights, simply, sum, version, depends,
Topics {✒️}
fully moderated t-statistic moderated t-statistic posterior residual variance gene expression data empirical bayesian method linear model analysis loess local regression gz windows binaries canonical form https residual variance degrees fmt results documentation fmt archive linking lianbo yu [aut prior variance based zip macos binaries org/package=fmt fmt method residual variance prior degrees weighted average variance estimation fmt author limma published cre] maintainer gpl-2 needscompilation reference manual pdf downloads package source r-devel r-release r-oldrel r-project cran checks degrees fmt prior yu package zip 32614/cran //cran denominator extension smyth freedom weights simply sum version 0 depends
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