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Found more than one class "DataFrame" in cache; using the first, from namespace 'PythonEmbedInR' Also defined by ‘S4Vectors’ Error in DESeqDataSet(se, design = design, ignoreRank) : some values in assay are not integers
Hello!
I am trying to run DEG function with method="DESeq2" between three groups for single cell RNA seq data.
deg_BcellsM<-DEG(data %>% filter(cell_type=='B-cells-M'),method='DESeq2',contrast=c("grouped_pd","grouped_pr","naive"))
but am getting the following output:
Found more than one class "DataFrame" in cache; using the first, from namespace 'PythonEmbedInR' Also defined by ‘S4Vectors’ Found more than one class "DataFrame" in cache; using the first, from namespace 'PythonEmbedInR' Also defined by ‘S4Vectors’ Found more than one class "DataFrame" in cache; using the first, from namespace 'PythonEmbedInR' Also defined by ‘S4Vectors’ Found more than one class "DataFrame" in cache; using the first, from namespace 'PythonEmbedInR' Also defined by ‘S4Vectors’ Found more than one class "DataFrame" in cache; using the first, from namespace 'PythonEmbedInR' Also defined by ‘S4Vectors’ Found more than one class "DataFrame" in cache; using the first, from namespace 'PythonEmbedInR' Also defined by ‘S4Vectors’ Error in DESeqDataSet(se, design = design, ignoreRank) : some values in assay are not integers
My data file contains the columns as gene names + cell_type and compare_group columns, and the rows are each individual single cell. My groups are named 'grouped_pr', 'grouped_pd', 'naive'.
Do you have any advice on how to proceed?
Thank you!
It seems like your input data are not integers. While DESeq2 requires raw counts as input. You can find more info about DESeq2 here https://bioc.ism.ac.jp/packages/2.14/bioc/vignettes/DESeq2/inst/doc/beginner.pdf
From: whitneyt [email protected] Sent: Wednesday, April 22, 2020 12:44:56 PM To: Coolgenome/iTALK Cc: Subscribed Subject: [Coolgenome/iTALK] Found more than one class "DataFrame" in cache; using the first, from namespace 'PythonEmbedInR' Also defined by ‘S4Vectors’ Error in DESeqDataSet(se, design = design, ignoreRank) : some values in assay are not integers (#15)
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Hello!
I am trying to run DEG function with method="DESeq2" between three groups for single cell RNA seq data.
deg_BcellsM<-DEG(data %>% filter(cell_type=='B-cells-M'),method='DESeq2',contrast=c("grouped_pd","grouped_pr","naive")) but am getting the following output:
Found more than one class "DataFrame" in cache; using the first, from namespace 'PythonEmbedInR' Also defined by ‘S4Vectors’ Found more than one class "DataFrame" in cache; using the first, from namespace 'PythonEmbedInR' Also defined by ‘S4Vectors’ Found more than one class "DataFrame" in cache; using the first, from namespace 'PythonEmbedInR' Also defined by ‘S4Vectors’ Found more than one class "DataFrame" in cache; using the first, from namespace 'PythonEmbedInR' Also defined by ‘S4Vectors’ Found more than one class "DataFrame" in cache; using the first, from namespace 'PythonEmbedInR' Also defined by ‘S4Vectors’ Found more than one class "DataFrame" in cache; using the first, from namespace 'PythonEmbedInR' Also defined by ‘S4Vectors’ Error in DESeqDataSet(se, design = design, ignoreRank) : some values in assay are not integers
My data file contains the columns as gene names + cell_type and compare_group columns, and the rows are each individual single cell.
Do you have any advice on how to proceed?
Thank you!
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