[Bioc-devel] Modeling (statistic, p-value) pairs in MultiAssayExperiment
Model results could be stored in another SE. The contrasts are treated as samples, and stuff like p-values, effect sizes, etc as assays. Question is whether those should just be tacked onto a MAE, or kept as separate objects, or stored along with the MAE in a larger analysis-level workflow object. On Wed, Oct 25, 2017 at 8:57 AM, Kasper Daniel Hansen <
kasperdanielhansen at gmail.com> wrote:
I think analysis of multiassay experiments often will consists of integration following assay-specific models. Not necessarily, but it will be a usecase. Organizing multiple model fits together could be useful, for downstream comparison / integration. Say you find DMRs and DE genes. Now you want to do something with them. Right now we have multiple objects floating around. Would it be useful to have a collector for this? Best, Kasper On Tue, Oct 24, 2017 at 6:30 PM, Levi Waldron <lwaldron.research at gmail.com
wrote:
On Mon, Oct 23, 2017 at 9:15 PM, Kasper Daniel Hansen < kasperdanielhansen at gmail.com> wrote:
Are you discussing statistics of the same dimension as the data
(unusual)
or summary statistics? We should think about a MAE version of summary statistics, but that is not captured in current representation I would say.
What do you have in mind Kasper? I assumed that summary statistics could usually be kept in the rowData of a SummarizedExperiment.
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