[Bioc-devel] Modeling (statistic, p-value) pairs in MultiAssayExperiment

[Kasper Daniel Hansen]

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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