Hi, thanks for the suggestion. The point is that I have multiple assays, each of which is made of statistic-p-value pairs. Within each assay, the two matrices have of course same rows and columns, but different assays will have different rows (same columns). So I should flatten everything and model both the matrices for the same experiment and the matrices for different experiments all as different assays of a MultiAssay, which sounds rather stretched, or doesn't it?
Francesco Il 23/10/2017 22:50, Vincent Carey ha scritto: no answers yet? would it work to put your matrices as separate assays in a SummarizedExperiment? as long as they are conformant in dimensions and dimnames I think that would work. That SummarizedExperiment would then work well in an MAE. On Mon, Oct 23, 2017 at 1:00 PM, Francesco Napolitano <franap...@gmail.com> wrote: > Hi, > > I'm trying to build a MultiAssayExperiment. However, in my case each > assay should ideally include two matrices: one with a statistic and > another one with the corresponding p-value. I'm currently managing > each of them simply as a list of two matrices, but assay class expects > table-like data. I must also be able to quickly extract entire rows or > columns from each matrix. > > Is there a suitable way to model this into a MultiAssayExperiment? > > Thank you, > Francesco > > _______________________________________________ > Bioc-devel@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/bioc-devel > [[alternative HTML version deleted]] _______________________________________________ Bioc-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/bioc-devel
