A differential expression analysis method for RNA-seq data from repeated-measures design using general linear model framework and parametric bootstrap inference. The method accounts for the dependence of gene expression levels due to the repeated-measures through continuous autoregressive correlation structure. The method is described in Chapter 4 of Nguyen (2018) <https://lib.dr.iastate.edu/cgi/viewcontent.cgi?article=7433&context=etd>.
|Author||Yet Nguyen [aut, cre], Dan Nettleton [aut], Charity Gordon Law Smyth [ctb] (The authors of limma::voom, which was modified slightly leading to my_voom), Agata Michna [ctb] (The author of splineTimeR::splineDiffExprs, which was modified slightly leading to my_splineDiffExprs)|
|Maintainer||Yet Nguyen <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
Install the latest version of this package by entering the following in R:
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.