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rmRNAseq: RNA-Seq Analysis for Repeated-Measures Data
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>.
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Package details |
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| 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 <tienyettoan@gmail.com> |
| License | GPL (>= 2) |
| Version | 0.1.0 |
| Package repository | View on CRAN |
| Installation |
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