[R] ERROR with Aggregate differentially expressed genes across all contrast results using DEVis/DESeq

[Jeff Newmiller]

This question should most likely have been asked in the Bioconductor support forum.

For future reference, if you are looking for help with R rather than deep details about using a non-CRAN package, do turn off HTML formatting in your email software when you send to this list, as such formatting gets stripped anyway and what is left is barely legible.

On June 29, 2022 9:05:11 AM PDT, Ana Ruiz Manzano <aruizman2 using gmail.com> wrote:
>Hi,
>I'm using DEVis for differential expression analysis. When I get to running DESeq I get an error about "object of class �NULL� is not valid" when I'm creating the aggregated data.
>running BiocManager::valid() returns [1] TRUE and restarting RStudio didn't solve it either.
>#Run DESeq on my previously prepared DESeq2 object.
>    dds <- DESeq(dds)
>
>#determine the contrasts we are interested in examining by using DESeq2's results() function
>    res.SAMPLE3.vs.C2 <- results(dds, contrast=c("condition_ppGpp", "untreated_0mM", "treated_0.5mM"))
>    res.SAMPLE4.vs.C2 <- results(dds, contrast=c("condition_ppGpp", "untreated_0mM", "treated_1mM"))
>    print(res.SAMPLE3.vs.C2)
>log2 fold change (MLE): condition_ppGpp untreated_0mM vs treated_0.5mM
>Wald test p-value: condition ppGpp untreated 0mM vs treated 0.5mM
>DataFrame with 3996 rows and 6 columns
>      baseMean log2FoldChange     lfcSE       stat    pvalue      padj
>     <numeric>      <numeric> <numeric>  <numeric> <numeric> <numeric>
>1      352.326      0.2830664  0.391703  0.7226560 0.4698913 0.6771991
>2      335.373      0.5624211  0.270855  2.0764617 0.0378513 0.1542207
>3      315.891      0.6081361  0.237291  2.5628297 0.0103823 0.0653239
>4      326.854     -0.0200133  0.275640 -0.0726069 0.9421189 0.9702167
>5      360.061     -0.6693134  0.317713 -2.1066623 0.0351469 0.1471803
>...        ...            ...       ...        ...       ...       ...
>3992 0.1194548       -3.02243   4.02648  -0.750639   0.45287        NA
>3993 0.0481303        0.00000   4.06264   0.000000   1.00000        NA
>3994 0.0481303        0.00000   4.06264   0.000000   1.00000        NA
>3995 0.0481303        0.00000   4.06264   0.000000   1.00000        NA
>3996 0.1218624        0.00000   4.06264   0.000000   1.00000        NA
>
>#Make a list of all of our contrasts.
>    result_list <- list(res.SAMPLE3.vs.C2, res.SAMPLE4.vs.C2)
>    print(result_list)
>
>#Aggregate differentially expressed genes across all contrast results.
>    master_dataframe <- create_master_res(result_list, filename="master_DE_list.txt", method="union", lfc_filter=TRUE)
>
>Error in (function (cl, name, valueClass)  :
>  assignment of an object of class �NULL� is not valid for @�allNames� in an object of class �DESeqResMeta�; is(value, "character") is not TRUE
>I have tried to replace the NA data points in my data to zeros using the is.na() <- 0 function, but then I get an error
>Error in create_master_res(result_list, filename = "master_DE_list.txt",  :
>  create_master_res() requires list type object containing DESeq result sets.
>
>Changing data.frame to list didn't hep either.
>What I am missing?
>Thanks!
>
>
>	[[alternative HTML version deleted]]
>

-- 
Sent from my phone. Please excuse my brevity.