Hi Marcel, Charles,
Looks like S4Vectors:::coerceToSimpleList() is being to zealous here.
I've tweaked the function a little (in S4Vectors 0.23.21) so that
elements in the supplied list get coerced only when the 2nd argument
(element.type) is specified. This fixes both Marcel's and Charles' examples.
Many things in many packages depend on the delicate machinery that takes
care of coercing arbitrary things to SimpleList objects. So any small
change to this machinery has the potential to cause a lot of damage.
Hopefully this change won't have any major adverse effect. Thursday's
build report will tell us. If everything looks good on Thursday, I'll
apply the change to release.
Best,
H.
On 9/3/19 15:03, Marcel Ramos wrote:
> Hi Charles,
>
> Thank you for your post and for providing a reproducible example.
>
> I was able to reduce the example to behavior from the coerce method on
> `list`/`ANY` objects to `SimpleList`.
>
> Here is the reduced example:
>
> ``` r
> suppressPackageStartupMessages({
> library(SummarizedExperiment)
> })
> example(SummarizedExperiment, echo = FALSE)
> mylist <- list(exo1 = rse, exo2 = se0)
>
> simple <- as(mylist, "SimpleList")
>
> simple[[1]]
> #> class: SummarizedExperiment
> #> dim: 200 6
> #> metadata(0):
> #> assays(1): counts
> #> rownames: NULL
> #> rowData names(1): feature_id
> #> colnames(6): A B ... E F
> #> colData names(1): Treatment
>
> vapply(simple, class, character(1L))
> #> exo1 exo2
> #> "SummarizedExperiment" "SummarizedExperiment"
> ```
>
> Created on 2019-09-03 by the [reprex
> package](https://urldefense.proofpoint.com/v2/url?u=https-3A__reprex.tidyverse.org&d=DwIGaQ&c=eRAMFD45gAfqt84VtBcfhQ&r=BK7q3XeAvimeWdGbWY_wJYbW0WYiZvSXAJJKaaPhzWA&m=9duQHKmIe42r7lOJQrxpEAIYslget3GtzOUH_7YsQ-o&s=q8UONw1z3Bk43KNBDbmA-m1gBE1J7l6w3McrPDDaTfU&e=
> ) (v0.3.0)
>
> It appears that `S4Vectors:::coerceToSimpleList` looks for the
> `S4Vectors:::lowestListElementClass` and coerces all classes in the list
> to be the base `SummarizedExperiment` class. I'm not sure what the
> reasoning is behind the behavior.
>
> Can you chime in Hervé? Thanks.
>
> - Marcel
>
>
>
> On 8/28/19 1:28 AM, Charles Plessy wrote:
>> Hello,
>>
>> I am using MultiAssayExperiment as a base class in the CAGEr package.
>>
>> In Bioconductor 3.10, CAGEr is broken because updates of
>> RangeSummarizedExperiment experiments trigger their silent conversion
>> to SummarizedExperiment objects (basically discarding the ranges). This
>> only happens when there is another experiment slot that contains a plain
>> SummarizedExperiment.
>>
>> Here is a toy example to reproduce the issue:
>>
>> ```{r}
>> library("MultiAssayExperiment")
>> (DF <- DataFrame(sample1=c(1,2), sample2=c(1,3)))
>> (rRanges <- GPos("chr1", 1:2, "+"))
>> (cData<- DataFrame(type=c("control", "treatment"), row.names =
>> c("sample1", "sample2")))
>> (rSE <- SummarizedExperiment(SimpleList(DF), rowRanges = rRanges,
>> colData = cData))
>> (SE <- SummarizedExperiment(SimpleList(DF), colData = cData))
>> (m<- MultiAssayExperiment(ExperimentList(exp1=rSE)))
>> (m[[1]] <- m[[1]])
>> m # No change
>> (m<- c(m, exp2=SE))
>> (m[[1]] <- m[[1]])
>> m # RangedSummarizedExperiment replaced with SummarizedExperiment
>> sessionInfo()
>> ```
>>
>> Am I misusing the MultiAssayExperiment objects, or is this a bug ?
>>
>> Have a nice day,
>>
>> Charles
>>
>
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Hervé Pagès
Program in Computational Biology
Division of Public Health Sciences
Fred Hutchinson Cancer Research Center
1100 Fairview Ave. N, M1-B514
P.O. Box 19024
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E-mail: hpa...@fredhutch.org
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Fax:(206) 667-1319
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